243 Professional Services jobs in Vienna
Delivery Consultant - Data Architect, AWS Professional Services, AWS Professional Services, AWS P...
22212 Arlington, Virginia
Amazon
Posted 14 days ago
Job Viewed
Job Description
Description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team
at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS
solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer
success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
You will lead customer-focused project teams as a technical leader and perform hands-on development of Data &
Analytics solutions with exceptional quality.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in
architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work
closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration
strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies,
and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best
practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business
outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to
execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help
customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our
global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Leading project teams, designing and implementing end-to-end large-scale, complex, scalable, and secure Data Analytics AWS solutions tailored to customer needs
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective Data & Analytics migration and modernization strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies, ensuring compliance with industry standards and governance while aligning data solutions with business strategies.
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to
never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 5+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 8+ years of experience leading technical teams and hands-on experience focused on data or software engineering, with a strong understanding of distributed data processing.
- 8+ years of experience designing and building scalable, highly available data solutions, including ETL/ELT pipelines, data quality, and monitoring processes.
- 5+ years of experience and proficiency in SQL, Python, and at least one additional programming language (e.g., Java, Scala, etc).
Preferred Qualifications
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences with the ability to lead technical teams in customer projects
- Strong experience with distributed frameworks (e.g. Spark, Hadoop, Kafka, Presto, Flink, S3, HDFS, DBs) and a solid understanding of JVM or similar runtime. Experience designing and building data governance and data protection mechanisms
- Experience building applications using Generative AI tools and technologies (LLMs, Vector Stores, Orchestrators such as LangChain, Prompt Engineering)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team
at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS
solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer
success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
You will lead customer-focused project teams as a technical leader and perform hands-on development of Data &
Analytics solutions with exceptional quality.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in
architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work
closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration
strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies,
and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best
practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business
outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to
execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help
customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our
global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Leading project teams, designing and implementing end-to-end large-scale, complex, scalable, and secure Data Analytics AWS solutions tailored to customer needs
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective Data & Analytics migration and modernization strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies, ensuring compliance with industry standards and governance while aligning data solutions with business strategies.
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to
never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 5+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 8+ years of experience leading technical teams and hands-on experience focused on data or software engineering, with a strong understanding of distributed data processing.
- 8+ years of experience designing and building scalable, highly available data solutions, including ETL/ELT pipelines, data quality, and monitoring processes.
- 5+ years of experience and proficiency in SQL, Python, and at least one additional programming language (e.g., Java, Scala, etc).
Preferred Qualifications
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences with the ability to lead technical teams in customer projects
- Strong experience with distributed frameworks (e.g. Spark, Hadoop, Kafka, Presto, Flink, S3, HDFS, DBs) and a solid understanding of JVM or similar runtime. Experience designing and building data governance and data protection mechanisms
- Experience building applications using Generative AI tools and technologies (LLMs, Vector Stores, Orchestrators such as LangChain, Prompt Engineering)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
View Now
0
Delivery Consultant - Database, AWS Professional Services, AWS Professional Services
22212 Arlington, Virginia
Amazon
Posted 14 days ago
Job Viewed
Job Description
Description
Are you an experienced commercial or open-source database platform specialist? Do you like to solve the most complex and high scale data challenges and help organizations understand and use cloud computing web services to do big new things faster, at a lower cost? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Database Delivery Consultant to help customers implement database transformations and realize business opportunities. You will collaborate with our customers and partners on key engagements and will develop and deliver proof-of- concept projects, technical workshops, and support implementation projects in order to migrate customer environments to AWS cloud based database platforms. Our professional services engagements will focus on customer solutions such as high volume mission critical OLTP/OLAP environments, batch data processing, designing and deploying future state petabyte-scale data warehouse service and building and/or designing reference configurations to enable our customers and influence AWS RDS, Aurora, DynamoDB and Redshift adoption. The databases team provides direct to customer, back office and packaged delivery consulting services to customers remotely from a centralized location. Our consultants are builders and deliver projects, technical workshops, and lead implementation projects with customers around the globe. These professional services engagements focus on customer solutions such as, web applications, enterprise applications, high performance computing, batch processing, big data, archiving, disaster recovery, migration, security risk and compliance.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1.Employ customer facing skills to represent AWS well within the customer's environment and drive discussions with senior personnel regarding trade-offs, standard methodologies, project management and risk mitigation.
2.Work closely with AWS Platform Service Engineering and Architecture teams to help ensure the success of project consulting engagements with customer.
3.Work directly with customers' technical resources to devise and recommend solutions based on the understood requirements.
4.Think strategically about business, product, and technical challenges in an enterprise environment
5.Analyze on-premises database environments such as Oracle, SQL Server, or other Commercial DB Engines to Open-Source Engines like Aurora PostgreSQL/MySQL or RedShift, DynamoDB.
6.Work with customers to migrate their database environments to AWS. This may include but is not limited to Re-Host database platform on AWS, Upgrade/Optimize for AWS, Re-Factor to open-source database platform on AWS.
7.Consult for optimal design of database environments, analyzing complex distributed production deployments, and making recommendations to optimize performance.
8.Develop innovative solutions to complex business and technology problems. This is a customer-facing role with potential travel to customer sites as needed.
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor's degree in computer science, Engineering, or related field, or equivalent practical experience
- 3+ years of hands-on experience implementing AWS services (EC2, ELB, RDS, Route53 & S3) in distributed computing environments
- 3+ years of hands-on experience administering at least one commercial relational database (Oracle, SQL Server, or IBM Db2) OR open-source database (MySQL, PostgreSQL, MariaDB)
- 2+ years of hands-on experience implementing non-relational databases such as MongoDB, CouchDB, or Redis
Preferred Qualifications
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Are you an experienced commercial or open-source database platform specialist? Do you like to solve the most complex and high scale data challenges and help organizations understand and use cloud computing web services to do big new things faster, at a lower cost? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Database Delivery Consultant to help customers implement database transformations and realize business opportunities. You will collaborate with our customers and partners on key engagements and will develop and deliver proof-of- concept projects, technical workshops, and support implementation projects in order to migrate customer environments to AWS cloud based database platforms. Our professional services engagements will focus on customer solutions such as high volume mission critical OLTP/OLAP environments, batch data processing, designing and deploying future state petabyte-scale data warehouse service and building and/or designing reference configurations to enable our customers and influence AWS RDS, Aurora, DynamoDB and Redshift adoption. The databases team provides direct to customer, back office and packaged delivery consulting services to customers remotely from a centralized location. Our consultants are builders and deliver projects, technical workshops, and lead implementation projects with customers around the globe. These professional services engagements focus on customer solutions such as, web applications, enterprise applications, high performance computing, batch processing, big data, archiving, disaster recovery, migration, security risk and compliance.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1.Employ customer facing skills to represent AWS well within the customer's environment and drive discussions with senior personnel regarding trade-offs, standard methodologies, project management and risk mitigation.
2.Work closely with AWS Platform Service Engineering and Architecture teams to help ensure the success of project consulting engagements with customer.
3.Work directly with customers' technical resources to devise and recommend solutions based on the understood requirements.
4.Think strategically about business, product, and technical challenges in an enterprise environment
5.Analyze on-premises database environments such as Oracle, SQL Server, or other Commercial DB Engines to Open-Source Engines like Aurora PostgreSQL/MySQL or RedShift, DynamoDB.
6.Work with customers to migrate their database environments to AWS. This may include but is not limited to Re-Host database platform on AWS, Upgrade/Optimize for AWS, Re-Factor to open-source database platform on AWS.
7.Consult for optimal design of database environments, analyzing complex distributed production deployments, and making recommendations to optimize performance.
8.Develop innovative solutions to complex business and technology problems. This is a customer-facing role with potential travel to customer sites as needed.
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor's degree in computer science, Engineering, or related field, or equivalent practical experience
- 3+ years of hands-on experience implementing AWS services (EC2, ELB, RDS, Route53 & S3) in distributed computing environments
- 3+ years of hands-on experience administering at least one commercial relational database (Oracle, SQL Server, or IBM Db2) OR open-source database (MySQL, PostgreSQL, MariaDB)
- 2+ years of hands-on experience implementing non-relational databases such as MongoDB, CouchDB, or Redis
Preferred Qualifications
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
View Now
1
Delivery Consultant - Database, AWS Professional Services, AWS Professional Services
22212 Arlington, Virginia
Amazon
Posted 14 days ago
Job Viewed
Job Description
Description
Are you an experienced commercial or open-source database platform specialist? Do you like to solve the most complex and high scale data challenges and help organizations understand and use cloud computing web services to do big new things faster, at a lower cost? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Database Delivery Consultant to help customers implement database transformations and realize business opportunities. You will collaborate with our customers and partners on key engagements and will develop and deliver proof-of- concept projects, technical workshops, and support implementation projects in order to migrate customer environments to AWS cloud based database platforms. Our professional services engagements will focus on customer solutions such as high volume mission critical OLTP/OLAP environments, batch data processing, designing and deploying future state petabyte-scale data warehouse service and building and/or designing reference configurations to enable our customers and influence AWS RDS, Aurora, DynamoDB and Redshift adoption. The databases team provides direct to customer, back office and packaged delivery consulting services to customers remotely from a centralized location. Our consultants are builders and deliver projects, technical workshops, and lead implementation projects with customers around the globe. These professional services engagements focus on customer solutions such as, web applications, enterprise applications, high performance computing, batch processing, big data, archiving, disaster recovery, migration, security risk and compliance.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1.Employ customer facing skills to represent AWS well within the customer's environment and drive discussions with senior personnel regarding trade-offs, standard methodologies, project management and risk mitigation.
2.Work closely with AWS Platform Service Engineering and Architecture teams to help ensure the success of project consulting engagements with customer.
3.Work directly with customers' technical resources to devise and recommend solutions based on the understood requirements.
4.Think strategically about business, product, and technical challenges in an enterprise environment
5.Analyze on-premises database environments such as Oracle, SQL Server, or other Commercial DB Engines to Open-Source Engines like Aurora PostgreSQL/MySQL or RedShift, DynamoDB.
6.Work with customers to migrate their database environments to AWS. This may include but is not limited to Re-Host database platform on AWS, Upgrade/Optimize for AWS, Re-Factor to open-source database platform on AWS.
7.Consult for optimal design of database environments, analyzing complex distributed production deployments, and making recommendations to optimize performance.
8.Develop innovative solutions to complex business and technology problems. This is a customer-facing role with potential travel to customer sites as needed.
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor's degree in computer science, Engineering, or related field, or equivalent practical experience
- 3+ years of hands-on experience implementing AWS services (EC2, ELB, RDS, Route53 & S3) in distributed computing environments
- 3+ years of hands-on experience administering at least one commercial relational database (Oracle, SQL Server, or IBM Db2) OR open-source database (MySQL, PostgreSQL, MariaDB)
- 2+ years of hands-on experience implementing non-relational databases such as MongoDB, CouchDB, or Redis
Preferred Qualifications
- - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- - Experience with automation and scripting (e.g., Terraform, Python)
- - Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Are you an experienced commercial or open-source database platform specialist? Do you like to solve the most complex and high scale data challenges and help organizations understand and use cloud computing web services to do big new things faster, at a lower cost? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Database Delivery Consultant to help customers implement database transformations and realize business opportunities. You will collaborate with our customers and partners on key engagements and will develop and deliver proof-of- concept projects, technical workshops, and support implementation projects in order to migrate customer environments to AWS cloud based database platforms. Our professional services engagements will focus on customer solutions such as high volume mission critical OLTP/OLAP environments, batch data processing, designing and deploying future state petabyte-scale data warehouse service and building and/or designing reference configurations to enable our customers and influence AWS RDS, Aurora, DynamoDB and Redshift adoption. The databases team provides direct to customer, back office and packaged delivery consulting services to customers remotely from a centralized location. Our consultants are builders and deliver projects, technical workshops, and lead implementation projects with customers around the globe. These professional services engagements focus on customer solutions such as, web applications, enterprise applications, high performance computing, batch processing, big data, archiving, disaster recovery, migration, security risk and compliance.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1.Employ customer facing skills to represent AWS well within the customer's environment and drive discussions with senior personnel regarding trade-offs, standard methodologies, project management and risk mitigation.
2.Work closely with AWS Platform Service Engineering and Architecture teams to help ensure the success of project consulting engagements with customer.
3.Work directly with customers' technical resources to devise and recommend solutions based on the understood requirements.
4.Think strategically about business, product, and technical challenges in an enterprise environment
5.Analyze on-premises database environments such as Oracle, SQL Server, or other Commercial DB Engines to Open-Source Engines like Aurora PostgreSQL/MySQL or RedShift, DynamoDB.
6.Work with customers to migrate their database environments to AWS. This may include but is not limited to Re-Host database platform on AWS, Upgrade/Optimize for AWS, Re-Factor to open-source database platform on AWS.
7.Consult for optimal design of database environments, analyzing complex distributed production deployments, and making recommendations to optimize performance.
8.Develop innovative solutions to complex business and technology problems. This is a customer-facing role with potential travel to customer sites as needed.
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor's degree in computer science, Engineering, or related field, or equivalent practical experience
- 3+ years of hands-on experience implementing AWS services (EC2, ELB, RDS, Route53 & S3) in distributed computing environments
- 3+ years of hands-on experience administering at least one commercial relational database (Oracle, SQL Server, or IBM Db2) OR open-source database (MySQL, PostgreSQL, MariaDB)
- 2+ years of hands-on experience implementing non-relational databases such as MongoDB, CouchDB, or Redis
Preferred Qualifications
- - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- - Experience with automation and scripting (e.g., Terraform, Python)
- - Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
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2
Sales Executive (Professional Services)
22107 McLean, Virginia
Infinitive
Posted 2 days ago
Job Viewed
Job Description
About Infinitive: Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. . We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment. Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 7 times most recently in 2024. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.” About the Role: We are seeking a results-driven sales executivewith experience selling professional services or human capital solutionsin the technology space. In this role, you will be responsible for identifying new business opportunities, building strong client relationships, and driving revenue growth. You will work closely with cross-functional teams, including delivery, marketing, and leadership, to ensure client satisfaction and successful engagement execution. Key Responsibilities: Business Development & Sales Strategy Identify, qualify, and develop new business opportunities in the technology sector. Develop and execute a strategic sales plan to achieve revenue targets. Leverage existing relationships and networks to generate leads and expand the client base. Client Relationship Management Build and maintain strong relationships with key stakeholders and decision-makers. Understand client needs and present customized solutions aligned with their business goals. Serve as a trusted advisor, ensuring client satisfaction and long-term partnerships. Sales Execution & Deal Management Conduct meetings, presentations, and product demonstrations to showcase the value of professional services and human capital solutions. Negotiate contracts, pricing, and terms to close deals effectively. Manage the sales pipeline, forecast revenue, and report progress using CRM tools. Collaboration & Market Insights Work with internal teams to align service offerings with market demand. Stay informed about industry trends, competitive landscape, and emerging technologies. Provide feedback to product and service teams to enhance offerings based on client needs. Qualifications & Skills: Experience: 3-7 years of sales experience in professional services, human capital solutions, or technology consulting. Industry Knowledge: Understanding of technology trends, workforce solutions, and IT consulting, ideally in the financial services space. Sales Acumen: Proven track record of meeting or exceeding sales targets. Communication Skills: Strong presentation, negotiation, and relationship-building skills. CRM & Tools: Experience using Salesforce, HubSpot, or similar CRM platforms. Education: Bachelor's degree in Business, Marketing, or a related field (preferred). #J-18808-Ljbffr
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3
Database Architect, Professional Services
22070 Herndon, Virginia
Amazon
Posted today
Job Viewed
Job Description
Database Architect, Professional Services Job ID: 2983057 | Amazon Web Services Korea LLC At Amazon Web Services (AWS), we’re hiring highly technical database application developer to help our customers develop technical expertise and capacity, while also collaborating with our customers and partners on key engagements. Our consultants will deliver pilot projects, topical workshops, and lead implementation projects using database application development expertise. Professional Services engage in a wide variety of projects for customers, providing collective experience from across the AWS customer base and are obsessed about strong success for the Customer. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. 모집분야 Amazon Web Services (AWS)에서는 고객이 전문지식 역량을 개발할 수 있도록 돕고, 이를 위해 파트너와 협력할 수 있는 뛰어난 기술역량을 갖춘 데이터베이스 전문 어플리케이션 개발자를 채용하고 있습니다. AWS의 컨설턴트들은 데이터베이스 전문성을 활용하여 파일럿, 주제별 워크샵, 그리고 구축 프로젝트를 통한 딜리버리를 담당하게 됩니다. 프로페셔널 서비스팀은 다양한 프로젝트를 통해 축적한 경험을 바탕으로 고객의 성공을 돕습니다. 또한, AWS 내부 다른 조직과 협력하여 제품과 서비스, 그리고 적절한 해결책을 고객에게 제공하고 고객 요구 사항에 따라 혁신을 추진합니다. Key job responsibilities We are looking for hands on architects/developers who are passionate about: · Helping customers architect scalable, highly available database solutions that leverage AWS services · Developing customer applications and database to be cloud optimized . Analyze on-premises database environments such as Oracle, SQL*Server, or other Commercial DB Engines to Open Source Engines like Aurora-PostgreSQL/MySQL or No-SQL DB like DynamoDB. · Consult for optimal design of database environments, analyzing complex distributed production deployments, and making recommendations to optimize performance · Working as a technical leader along side customer business, development and infrastructure teams · Advising and implementing AWS best practices 아래 사항들에 관심있는 아키텍트/개발자분들의 많은 지원 바랍니다. · AWS 서비스상에서 확장 가능하고 가용성 높은 데이터베이스 솔루션 설계를 지원 · 클라우드에 최적화 될 수 있는 고객 어플리케이션 및 데이터베이스 개발 . Oracle, SQL*Server 또는 기타 상용 DB 엔진과 같은 온프레미스 데이터베이스 환경을 Aurora-PostgreSQL/MySQL과 같은 오픈소스 엔진이나 DynamoDB와 같은 NoSQL DB로 분석 . 데이터베이스 환경의 최적 설계를 위한 컨설팅을 제공하고, 복잡한 분산 프로덕션 배포를 분석하며, 성능 최적화를 위한 권장사항을 제시 · 고객 비즈니스, 개발, 운영 팀과 협업할 테크니컬 리더 · AWS 우수 사례 소개 및 실현 A day in the life This is a customer facing role. You will be required to travel to client locations and deliver professional services as needed. 고객을 대면하는 역할이며, 필요에 따라 전문적인 서비스 제공을 위해 고객을 방문해야 할 수 있습니다. About the team Sales, Marketing and Global Services (SMGS) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including the public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. AWS 영업, 마케팅 및 글로벌 서비스 (SMGS) 는 크고 빠르게 성장하는, 공공 부문에서 엔터프라이즈에 이르기까지 고객의 성장을 돕는 역할을 합니다. AWS 글로벌 지원 팀은 글로벌 기업과 교류하며 고객의 성공을 돕습니다. 또한 AWS Support는 AWS 서비스를 기반으로 미션 크리티컬 애플리케이션을 구축하는 전 세계 고객 목록과도 파트너 관계를 맺고 있습니다. About the team Sales, Marketing and Global Services (SMGS) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including the public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. AWS 영업, 마케팅 및 글로벌 서비스 (SMGS) 는 크고 빠르게 성장하는, 공공 부문에서 엔터프라이즈에 이르기까지 고객의 성장을 돕는 역할을 합니다. AWS 글로벌 지원 팀은 글로벌 기업과 교류하며 고객의 성공을 돕습니다. 또한 AWS Support는 AWS 서비스를 기반으로 미션 크리티컬 애플리케이션을 구축하는 전 세계 고객 목록과도 파트너 관계를 맺고 있습니다. The Professional Services team at AWS is responsible for assisting enterprise customers as they shift to the cloud by incorporating our services into their overall architecture. We work hand-in-hand with customer teams and AWS partners to provide deep expertise in the architecture, design, development, and implementation of cloud computing initiatives that result in real business outcomes. As part of our team, you’ll accelerate the adoption of our products all while advocating for the success of our customers. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS - 8+ years of IT implementation experience - 5+ years of experience designing and managing large-scale database infrastructure PREFERRED QUALIFICATIONS - Experience and technical expertise (design and implementation) in cloud computing technologies - Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience - Experience with NoSQL databases Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Posted: February 20, 2025 (Updated about 12 hours ago) Posted: May 16, 2025 (Updated 3 days ago) Posted: October 10, 2024 (Updated 3 days ago) Posted: August 22, 2024 (Updated 4 days ago) Posted: August 12, 2024 (Updated 4 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr
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4
Manager, Professional Services Engineering
20080 Washington, District Of Columbia
Rocket Software
Posted 10 days ago
Job Viewed
Job Description
**It's fun to work in a company where people truly BELIEVE in what they're doing!**
**Job Description Summary:**
The Manager, Professional Services Engineering, leads a team of experienced engineers specializing in enterprise content management solutions using the Mobius application suite. This team is committed to delivering high-quality software implementations while continuously embracing opportunities for learning and development. Collaboration, within the team and across partner functions such as Sales, Support, Product Engineering, and Project Management, is key to delivering meaningful outcomes for our customers.
At Rocket Software, we are deeply invested in our people. We foster an inclusive, flexible, and supportive work culture where every voice is valued, and every career can thrive. Our core values of empathy, humanity, trust, and love guide how we support each other and how we serve our customers.
The ideal candidate for this role is a purpose-driven leader who creates space for diverse ideas and talents to shine. They are confident in their technical abilities and invested in deeply understanding the application stack to better connect with and support their team. This individual leads with empathy, cultivates potential, and actively creates pathways for growth, ensuring that all team members feel seen, heard, and empowered.
They challenge conventional thinking in a constructive way and champion innovation, encouraging even the most seasoned team members to explore new ways of working. This leader fosters a culture of inclusion, collaboration, and continuous growth, where individuals are supported in stepping into leadership roles and building fulfilling careers.
**Essential Duties and Responsibilities** :
**Team Leadership**
+ Collaborate with the Sr. Manager of Customer Solutions Engineering to define and track strategic goals for the Professional Services team.
+ Lead a remote engineering team with a focus on equitable workload management, delivery excellence, and strong team dynamics.
+ Oversee project intake and staffing aligned with both customer needs and individual team member strengths and development goals.
+ Nurture a high-performance, growth-oriented culture grounded in mutual respect, accountability, and innovation.
+ Design and implement tailored coaching, development, and training plans to support personal and professional growth.
+ Empower team members by setting clear goals and providing compassionate mentorship and constructive feedback.
+ Guide team conversations around performance, development, and long-term career planning with openness and care.
+ Invest in team growth through ongoing learning opportunities, process improvements, and inclusive product training.
**Customer-Focused Solution Delivery**
+ Ensure delivery of impactful, high-quality services that reflect customer needs and values.
+ Collaborate as a technical leader and trusted advisor, listening carefully to customer challenges and aligning solutions to real business goals.
+ Guide customers in best-practice use, adoption, and configuration of Rocket solutions to support long-term success.
+ Collaborate with Project Management to provide clear communication on project status, risks, and milestones.
+ Support knowledge-sharing across the organization by contributing to documentation, training materials, and mentoring efforts.
+ Partner with Product Engineering to bring customer insights into product innovation and roadmap planning.
+ Work with Sales on pre-sales initiatives, ensuring our proposed solutions align with customer expectations and outcomes.
**Cross-Functional Collaboration**
+ Build strong partnerships across internal teams including Sales, Support, Product Engineering, and Project Management.
+ Share valuable customer context and technical insight with cross-functional stakeholders to shape collaborative outcomes.
+ Partner with Sales during pre-sales phases to build trust, scope services thoughtfully, and support confident decision-making.
+ Collaborate with Support and Product Engineering to advocate for customer needs and suggest enhancements that improve user experience.
**Qualifications:**
+ 8+ years in Information Technology or software engineering roles.
+ 5+ years' experience in Professional Services, Consulting, or Engineering Management.
+ Proven ability to lead remote teams with empathy, clarity, and effectiveness in delivering customer-facing software solutions.
+ Excellent communication, collaboration, and leadership skills.
+ Demonstrated success in working across functional areas (Sales, Product, Support).
+ Background in application lifecycle management, development, or change management.
+ Strong analytical and strategic thinking skills with a growth mindset.
+ Familiarity with legacy platforms (Mainframe, IBM i) is a plus.
**Information Security:**
Information security is everyone's responsibility. A fundamental principle of information security at Rocket Software is that all individuals in the organization have a responsibility for the security and protection of company information and IT Resources over which they have control, according to their role.
**Diversity, Inclusion & Equity:**
At Rocket we are committed to an inclusive workplace environment, where every Rocketeer can thrive by bringing their full selves to work. Being a Rocketeer means you are part of our movement to continually drive inclusivity, diversity and equity in our workforce.
#LI-Remote
#LI-MM1
The base salary range for this role is $91,270.00 - $114,088.00 /year. Exact compensation may vary based on skills, experience, and location.
.
**What Rocket Software can offer you in USA:**
**Unlimited Vacation Time as well as paid holidays and sick time**
**Health and Wellness coverage options for Rocketeers and dependents**
**Life and disability coverage**
**Fidelity 401(k) and Roth Retirement Savings with matching contributions**
**Monthly student debt benefit program**
**Tuition Reimbursement and Certificate Reimbursement Program opportunities**
**Leadership and skills training opportunities**
EOE M/F/Vet/Disability. Rocket Software Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Rocket Software Inc. is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Rocket is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please call: or send an email to We will make a determination on your request for reasonable accommodation on a case-by-case basis.
_It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability._
_If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!_
Companies around the world trust Rocket to solve their most complex business challenges by powering their critical infrastructure, business processes, and data. We help extend the value of these assets, enabling our customers to embrace the potential of cloud and mobile computing, advanced analytics, and the innovations of tomorrow. From the clothes we wear to the cars we drive, Rocket solutions power the back-end systems that thousands of brands rely on every day.
At Rocket, software is about more than just code-it's about people. We are passionate problem-solvers, working to make a difference for others. Our foundation is built on empathy, humanity, trust, and love, and we strive to embody these core values in everything we do. Whether we're serving our customers, partners, or fellow Rocketeers, we are committed to treating everyone with the respect and care they deserve.
Founded in 1990, Rocket Software is headquartered in Waltham, Massachusetts, and has 20 offices worldwide, bringing people and technology together to build a better future.
**Job Description Summary:**
The Manager, Professional Services Engineering, leads a team of experienced engineers specializing in enterprise content management solutions using the Mobius application suite. This team is committed to delivering high-quality software implementations while continuously embracing opportunities for learning and development. Collaboration, within the team and across partner functions such as Sales, Support, Product Engineering, and Project Management, is key to delivering meaningful outcomes for our customers.
At Rocket Software, we are deeply invested in our people. We foster an inclusive, flexible, and supportive work culture where every voice is valued, and every career can thrive. Our core values of empathy, humanity, trust, and love guide how we support each other and how we serve our customers.
The ideal candidate for this role is a purpose-driven leader who creates space for diverse ideas and talents to shine. They are confident in their technical abilities and invested in deeply understanding the application stack to better connect with and support their team. This individual leads with empathy, cultivates potential, and actively creates pathways for growth, ensuring that all team members feel seen, heard, and empowered.
They challenge conventional thinking in a constructive way and champion innovation, encouraging even the most seasoned team members to explore new ways of working. This leader fosters a culture of inclusion, collaboration, and continuous growth, where individuals are supported in stepping into leadership roles and building fulfilling careers.
**Essential Duties and Responsibilities** :
**Team Leadership**
+ Collaborate with the Sr. Manager of Customer Solutions Engineering to define and track strategic goals for the Professional Services team.
+ Lead a remote engineering team with a focus on equitable workload management, delivery excellence, and strong team dynamics.
+ Oversee project intake and staffing aligned with both customer needs and individual team member strengths and development goals.
+ Nurture a high-performance, growth-oriented culture grounded in mutual respect, accountability, and innovation.
+ Design and implement tailored coaching, development, and training plans to support personal and professional growth.
+ Empower team members by setting clear goals and providing compassionate mentorship and constructive feedback.
+ Guide team conversations around performance, development, and long-term career planning with openness and care.
+ Invest in team growth through ongoing learning opportunities, process improvements, and inclusive product training.
**Customer-Focused Solution Delivery**
+ Ensure delivery of impactful, high-quality services that reflect customer needs and values.
+ Collaborate as a technical leader and trusted advisor, listening carefully to customer challenges and aligning solutions to real business goals.
+ Guide customers in best-practice use, adoption, and configuration of Rocket solutions to support long-term success.
+ Collaborate with Project Management to provide clear communication on project status, risks, and milestones.
+ Support knowledge-sharing across the organization by contributing to documentation, training materials, and mentoring efforts.
+ Partner with Product Engineering to bring customer insights into product innovation and roadmap planning.
+ Work with Sales on pre-sales initiatives, ensuring our proposed solutions align with customer expectations and outcomes.
**Cross-Functional Collaboration**
+ Build strong partnerships across internal teams including Sales, Support, Product Engineering, and Project Management.
+ Share valuable customer context and technical insight with cross-functional stakeholders to shape collaborative outcomes.
+ Partner with Sales during pre-sales phases to build trust, scope services thoughtfully, and support confident decision-making.
+ Collaborate with Support and Product Engineering to advocate for customer needs and suggest enhancements that improve user experience.
**Qualifications:**
+ 8+ years in Information Technology or software engineering roles.
+ 5+ years' experience in Professional Services, Consulting, or Engineering Management.
+ Proven ability to lead remote teams with empathy, clarity, and effectiveness in delivering customer-facing software solutions.
+ Excellent communication, collaboration, and leadership skills.
+ Demonstrated success in working across functional areas (Sales, Product, Support).
+ Background in application lifecycle management, development, or change management.
+ Strong analytical and strategic thinking skills with a growth mindset.
+ Familiarity with legacy platforms (Mainframe, IBM i) is a plus.
**Information Security:**
Information security is everyone's responsibility. A fundamental principle of information security at Rocket Software is that all individuals in the organization have a responsibility for the security and protection of company information and IT Resources over which they have control, according to their role.
**Diversity, Inclusion & Equity:**
At Rocket we are committed to an inclusive workplace environment, where every Rocketeer can thrive by bringing their full selves to work. Being a Rocketeer means you are part of our movement to continually drive inclusivity, diversity and equity in our workforce.
#LI-Remote
#LI-MM1
The base salary range for this role is $91,270.00 - $114,088.00 /year. Exact compensation may vary based on skills, experience, and location.
.
**What Rocket Software can offer you in USA:**
**Unlimited Vacation Time as well as paid holidays and sick time**
**Health and Wellness coverage options for Rocketeers and dependents**
**Life and disability coverage**
**Fidelity 401(k) and Roth Retirement Savings with matching contributions**
**Monthly student debt benefit program**
**Tuition Reimbursement and Certificate Reimbursement Program opportunities**
**Leadership and skills training opportunities**
EOE M/F/Vet/Disability. Rocket Software Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Rocket Software Inc. is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Rocket is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please call: or send an email to We will make a determination on your request for reasonable accommodation on a case-by-case basis.
_It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability._
_If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!_
Companies around the world trust Rocket to solve their most complex business challenges by powering their critical infrastructure, business processes, and data. We help extend the value of these assets, enabling our customers to embrace the potential of cloud and mobile computing, advanced analytics, and the innovations of tomorrow. From the clothes we wear to the cars we drive, Rocket solutions power the back-end systems that thousands of brands rely on every day.
At Rocket, software is about more than just code-it's about people. We are passionate problem-solvers, working to make a difference for others. Our foundation is built on empathy, humanity, trust, and love, and we strive to embody these core values in everything we do. Whether we're serving our customers, partners, or fellow Rocketeers, we are committed to treating everyone with the respect and care they deserve.
Founded in 1990, Rocket Software is headquartered in Waltham, Massachusetts, and has 20 offices worldwide, bringing people and technology together to build a better future.
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5
Principal Professional Services Consultant
20080 Washington, District Of Columbia
Rocket Software
Posted 14 days ago
Job Viewed
Job Description
**It's fun to work in a company where people truly BELIEVE in what they're doing!**
**Job Description Summary:**
Our Enterprise Suite Professional Services Team is looking for a highly skilled Mainframe Modernization Senior Consultant to provide technical support and/or leadership in the creation and delivery of technology solutions designed to support our Customers' Digital Transformation.
Rocket Solutions for COBOL ( , mainframe application delivery ( and host access ( offer a comprehensive, proven solution across the three pillars of mainframe modernization - application, process and infrastructure - to achieve unprecedented speed to market, competitive advantage, and operational efficiency.
**Job Description**
Our Enterprise Suite Professional Services Team is looking for a highly skilled Mainframe Modernization Senior Consultant to provide technical support and/or leadership in the creation and delivery of technology solutions designed to support our Customers' Digital Transformation.
The ideal candidate will possess deep technical skill and relevant project experience in at least one of the following focus areas:
+ Infrastructure modernization projects
+ Application modernization projects
+ Process modernization projects
The candidate will also be able to deploy fit for purpose workload in a Hybrid Cloud infrastructure, evolve from monolithic application to Cloud-Native API Microservices, and embrace an enterprise-wide DevOps discipline to deliver application faster.
**Main Responsibilities:**
+ Works on complex project scope with minimal direction from the technical lead and with Customer/SI nominated representatives to accomplish assigned tasks.
+ Contributes to design for specific deliverables and assists in the deployment of Rocket Software products
+ Contribute to implement new solutions under the direction of a Solution Architects
+ Create proof of concept / proof of value technology analysis and pilots.
+ Conduct external and internal technical presentations/trainings to peer groups.
+ Uses and contributes to technical forums within the Rocket Software environment and local professional communities and technical user groups.
+ Applies own subject matter knowledge to solve a variety of common technical issues.
+ Exercises independent judgment within defined practices and procedures to determine appropriate action
+ Participates as part of a team and maintains good relationships with team members and customers.
?
**Expected Qualification and Soft Skills:**
+ 3-5 years of relevant technical experience
+ Excellent communication / customer service skills / confident telephone manner
+ Proactive and able to work under pressure
+ Experience in complex IT project implementations, customizations and or maintenance
+ Must have an analytical mind set to analyse test result and facilitate defect resolution
+ Organized and methodical, dealing with numerous tasks.
+ Fluent in written and verbal English.
?
**Technical skills:**
Technical skills to include two or more of the following:
+ IBM Enterprise COBOL or PLI programming experience
+ System level experience of IBM CICS; IMS and JCL
+ Relational databases, such as IBM DB2/UDB, Oracle, Microsoft SQL Server; PostgreSQL; .
+ Windows operating system
+ Linux/UNIX operating system
+ Knowledge of major Cloud Provider infrastructure and technologies, such as AWS, Azure, GCP, Cloud Foundry, Docker / Kubernetes
?
**Desired Project Experience:**
A practical experience in any mainframe application modernization project is highly desirable. For example:
+ Experience with tools and methodologies used to migrate mainframe workloads via hardware/middleware emulation, automated code conversion, and re-platforming.
+ Experience with COBOL modernization and porting application code across platforms.
+ Familiarity with agile engineering practices like Test Automation, Test-Driven Development (TDD), Continuous Integration (CI), Continuous Delivery (CD), DevOps, and Test Data Management, etc.
+ Experience developing, deploying, and tuning data modernization solution for mainframe such as IMS/DB, IDMS, ADABAS and VSAM data migration
+ Experience with implementing and operating DevOps and Agile tools/platforms across some part of the development lifecycle
+ Experience configuring automation pipelines in GitHub, Azure DevOps, AWS CodePipeline, Jenkins or similar tools.
?
**Other Preferred Skills:**
+ Bachelor's degree in computer science or related field
+ Rocket Software COBOL based products - Enterprise Developer, Visual COBOL, Enterprise Server, Server Express, Net Express
+ Any additional mainframe language or environment, such as REXX; Assembler; Natural; Adabas; .
+ Relevant Business and IT Architecture Certifications such as, AWS Solution Architect Professional, Microsoft AZURE Solution Architect, Google Cloud Certification; Scaled Agile Framework (SAFe) etc.
+ Proficient in another EU language
#LI-MM1
#LI-Remote
The base salary range for this role is $126,319.00 - $157,898.50 /year. Exact compensation may vary based on skills, experience, and location.
.
**What Rocket Software can offer you in USA:**
**Unlimited Vacation Time as well as paid holidays and sick time**
**Health and Wellness coverage options for Rocketeers and dependents**
**Life and disability coverage**
**Fidelity 401(k) and Roth Retirement Savings with matching contributions**
**Monthly student debt benefit program**
**Tuition Reimbursement and Certificate Reimbursement Program opportunities**
**Leadership and skills training opportunities**
EOE M/F/Vet/Disability. Rocket Software Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Rocket Software Inc. is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Rocket is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please call: or send an email to We will make a determination on your request for reasonable accommodation on a case-by-case basis.
_It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability._
_If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!_
Companies around the world trust Rocket to solve their most complex business challenges by powering their critical infrastructure, business processes, and data. We help extend the value of these assets, enabling our customers to embrace the potential of cloud and mobile computing, advanced analytics, and the innovations of tomorrow. From the clothes we wear to the cars we drive, Rocket solutions power the back-end systems that thousands of brands rely on every day.
At Rocket, software is about more than just code-it's about people. We are passionate problem-solvers, working to make a difference for others. Our foundation is built on empathy, humanity, trust, and love, and we strive to embody these core values in everything we do. Whether we're serving our customers, partners, or fellow Rocketeers, we are committed to treating everyone with the respect and care they deserve.
Founded in 1990, Rocket Software is headquartered in Waltham, Massachusetts, and has 20 offices worldwide, bringing people and technology together to build a better future.
**Job Description Summary:**
Our Enterprise Suite Professional Services Team is looking for a highly skilled Mainframe Modernization Senior Consultant to provide technical support and/or leadership in the creation and delivery of technology solutions designed to support our Customers' Digital Transformation.
Rocket Solutions for COBOL ( , mainframe application delivery ( and host access ( offer a comprehensive, proven solution across the three pillars of mainframe modernization - application, process and infrastructure - to achieve unprecedented speed to market, competitive advantage, and operational efficiency.
**Job Description**
Our Enterprise Suite Professional Services Team is looking for a highly skilled Mainframe Modernization Senior Consultant to provide technical support and/or leadership in the creation and delivery of technology solutions designed to support our Customers' Digital Transformation.
The ideal candidate will possess deep technical skill and relevant project experience in at least one of the following focus areas:
+ Infrastructure modernization projects
+ Application modernization projects
+ Process modernization projects
The candidate will also be able to deploy fit for purpose workload in a Hybrid Cloud infrastructure, evolve from monolithic application to Cloud-Native API Microservices, and embrace an enterprise-wide DevOps discipline to deliver application faster.
**Main Responsibilities:**
+ Works on complex project scope with minimal direction from the technical lead and with Customer/SI nominated representatives to accomplish assigned tasks.
+ Contributes to design for specific deliverables and assists in the deployment of Rocket Software products
+ Contribute to implement new solutions under the direction of a Solution Architects
+ Create proof of concept / proof of value technology analysis and pilots.
+ Conduct external and internal technical presentations/trainings to peer groups.
+ Uses and contributes to technical forums within the Rocket Software environment and local professional communities and technical user groups.
+ Applies own subject matter knowledge to solve a variety of common technical issues.
+ Exercises independent judgment within defined practices and procedures to determine appropriate action
+ Participates as part of a team and maintains good relationships with team members and customers.
?
**Expected Qualification and Soft Skills:**
+ 3-5 years of relevant technical experience
+ Excellent communication / customer service skills / confident telephone manner
+ Proactive and able to work under pressure
+ Experience in complex IT project implementations, customizations and or maintenance
+ Must have an analytical mind set to analyse test result and facilitate defect resolution
+ Organized and methodical, dealing with numerous tasks.
+ Fluent in written and verbal English.
?
**Technical skills:**
Technical skills to include two or more of the following:
+ IBM Enterprise COBOL or PLI programming experience
+ System level experience of IBM CICS; IMS and JCL
+ Relational databases, such as IBM DB2/UDB, Oracle, Microsoft SQL Server; PostgreSQL; .
+ Windows operating system
+ Linux/UNIX operating system
+ Knowledge of major Cloud Provider infrastructure and technologies, such as AWS, Azure, GCP, Cloud Foundry, Docker / Kubernetes
?
**Desired Project Experience:**
A practical experience in any mainframe application modernization project is highly desirable. For example:
+ Experience with tools and methodologies used to migrate mainframe workloads via hardware/middleware emulation, automated code conversion, and re-platforming.
+ Experience with COBOL modernization and porting application code across platforms.
+ Familiarity with agile engineering practices like Test Automation, Test-Driven Development (TDD), Continuous Integration (CI), Continuous Delivery (CD), DevOps, and Test Data Management, etc.
+ Experience developing, deploying, and tuning data modernization solution for mainframe such as IMS/DB, IDMS, ADABAS and VSAM data migration
+ Experience with implementing and operating DevOps and Agile tools/platforms across some part of the development lifecycle
+ Experience configuring automation pipelines in GitHub, Azure DevOps, AWS CodePipeline, Jenkins or similar tools.
?
**Other Preferred Skills:**
+ Bachelor's degree in computer science or related field
+ Rocket Software COBOL based products - Enterprise Developer, Visual COBOL, Enterprise Server, Server Express, Net Express
+ Any additional mainframe language or environment, such as REXX; Assembler; Natural; Adabas; .
+ Relevant Business and IT Architecture Certifications such as, AWS Solution Architect Professional, Microsoft AZURE Solution Architect, Google Cloud Certification; Scaled Agile Framework (SAFe) etc.
+ Proficient in another EU language
#LI-MM1
#LI-Remote
The base salary range for this role is $126,319.00 - $157,898.50 /year. Exact compensation may vary based on skills, experience, and location.
.
**What Rocket Software can offer you in USA:**
**Unlimited Vacation Time as well as paid holidays and sick time**
**Health and Wellness coverage options for Rocketeers and dependents**
**Life and disability coverage**
**Fidelity 401(k) and Roth Retirement Savings with matching contributions**
**Monthly student debt benefit program**
**Tuition Reimbursement and Certificate Reimbursement Program opportunities**
**Leadership and skills training opportunities**
EOE M/F/Vet/Disability. Rocket Software Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Rocket Software Inc. is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Rocket is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please call: or send an email to We will make a determination on your request for reasonable accommodation on a case-by-case basis.
_It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability._
_If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!_
Companies around the world trust Rocket to solve their most complex business challenges by powering their critical infrastructure, business processes, and data. We help extend the value of these assets, enabling our customers to embrace the potential of cloud and mobile computing, advanced analytics, and the innovations of tomorrow. From the clothes we wear to the cars we drive, Rocket solutions power the back-end systems that thousands of brands rely on every day.
At Rocket, software is about more than just code-it's about people. We are passionate problem-solvers, working to make a difference for others. Our foundation is built on empathy, humanity, trust, and love, and we strive to embody these core values in everything we do. Whether we're serving our customers, partners, or fellow Rocketeers, we are committed to treating everyone with the respect and care they deserve.
Founded in 1990, Rocket Software is headquartered in Waltham, Massachusetts, and has 20 offices worldwide, bringing people and technology together to build a better future.
View Now
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6
Delivery Consultant - Machine Learning Engineer, AWS Professional Services, AWS Professional Serv...
22095 Herndon, Virginia
Amazon
Posted 14 days ago
Job Viewed
Job Description
Description
Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world's AI technology?
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring.
2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.
4. Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models.
5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.
This is a customer-facing role with potential travel to customer sites as needed.
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 3+ years cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design)
- 3+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud. (e.g., Amazon SageMaker or similar)
- 3+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch)
Preferred Qualifications
- AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation)
- AWS Professional certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional)
- Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., CloudFormation, CDK), and Containers & CI/CD Pipelines.
- Knowledge of common security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with ability to explain complex concepts to technical and non-technical audiences
- Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining
- Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world's AI technology?
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring.
2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.
4. Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models.
5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.
This is a customer-facing role with potential travel to customer sites as needed.
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 3+ years cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design)
- 3+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud. (e.g., Amazon SageMaker or similar)
- 3+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch)
Preferred Qualifications
- AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation)
- AWS Professional certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional)
- Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., CloudFormation, CDK), and Containers & CI/CD Pipelines.
- Knowledge of common security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with ability to explain complex concepts to technical and non-technical audiences
- Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining
- Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
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7
Senior Delivery Consultant - Data Architect, AWS Professional Services, AWS Professional Services
22212 Arlington, Virginia
Amazon
Posted 14 days ago
Job Viewed
Job Description
Description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer
success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. You will lead customer-focused project teams as a technical leader and perform hands-on development of Data & Analytics solutions with exceptional quality.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Leading project teams, designing and implementing end-to-end large-scale, complex, scalable, and secure Data Analytics AWS solutions tailored to customer needs
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective Data & Analytics migration and modernization strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies, ensuring compliance with industry standards and governance while aligning data solutions with business strategies.
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to
never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 5+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 8+ years of experience leading technical teams and hands-on experience focused on data or software engineering, with a strong understanding of distributed data processing.
- 8+ years of experience designing and building scalable, highly available data solutions, including ETL/ELT pipelines, data quality, and monitoring processes.
- 5+ years of experience and proficiency in SQL, Python, and at least one additional programming language (e.g., Java, Scala, etc).
Preferred Qualifications
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences with the ability to lead technical teams in customer projects
- Strong experience with distributed frameworks (e.g. Spark, Hadoop, Kafka, Presto, Flink, S3, HDFS, DBs) and a solid understanding of JVM or similar runtime. Experience designing and building data governance and data protection mechanisms
- Experience building applications using Generative AI tools and technologies (LLMs, Vector Stores, Orchestrators such as LangChain, Prompt Engineering)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer
success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. You will lead customer-focused project teams as a technical leader and perform hands-on development of Data & Analytics solutions with exceptional quality.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Leading project teams, designing and implementing end-to-end large-scale, complex, scalable, and secure Data Analytics AWS solutions tailored to customer needs
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective Data & Analytics migration and modernization strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies, ensuring compliance with industry standards and governance while aligning data solutions with business strategies.
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to
never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 5+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 8+ years of experience leading technical teams and hands-on experience focused on data or software engineering, with a strong understanding of distributed data processing.
- 8+ years of experience designing and building scalable, highly available data solutions, including ETL/ELT pipelines, data quality, and monitoring processes.
- 5+ years of experience and proficiency in SQL, Python, and at least one additional programming language (e.g., Java, Scala, etc).
Preferred Qualifications
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences with the ability to lead technical teams in customer projects
- Strong experience with distributed frameworks (e.g. Spark, Hadoop, Kafka, Presto, Flink, S3, HDFS, DBs) and a solid understanding of JVM or similar runtime. Experience designing and building data governance and data protection mechanisms
- Experience building applications using Generative AI tools and technologies (LLMs, Vector Stores, Orchestrators such as LangChain, Prompt Engineering)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
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8
Delivery Consultant - Machine Learning Engineer, AWS Professional Services, AWS Professional Serv...
22212 Arlington, Virginia
Amazon
Posted 14 days ago
Job Viewed
Job Description
Description
Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world's AI technology?
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring.
2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.
4. Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models.
5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.
This is a customer-facing role with potential travel to customer sites as needed.
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 3+ years cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design)
- 3+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud. (e.g., Amazon SageMaker or similar)
- 3+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch)
Preferred Qualifications
- AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation)
- AWS Professional certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional)
- Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., CloudFormation, CDK), and Containers & CI/CD Pipelines.
- Knowledge of common security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with ability to explain complex concepts to technical and non-technical audiences
- Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining
- Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world's AI technology?
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring.
2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.
4. Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models.
5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.
This is a customer-facing role with potential travel to customer sites as needed.
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 3+ years cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design)
- 3+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud. (e.g., Amazon SageMaker or similar)
- 3+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch)
Preferred Qualifications
- AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation)
- AWS Professional certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional)
- Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., CloudFormation, CDK), and Containers & CI/CD Pipelines.
- Knowledge of common security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with ability to explain complex concepts to technical and non-technical audiences
- Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining
- Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
View Now
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