222 Professional Services jobs in Fairmount Heights

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.

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 experience in cloud architecture and implementation
- 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.

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.

**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.
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
+ 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 $85,820.00 - $107,275.00 /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.

**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.
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
+ 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 $85,820.00 - $107,275.00 /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:**
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future.
The Vice President, Professional Services - Federal is responsible for leading all professional services and data science delivery activities across the United States Federal Sector. This executive plays a critical role in shaping and executing the regional services strategy, ensuring world-class delivery of AI-driven solutions, and supporting revenue growth and customer success. The VP partners closely with Sales, Account Management, and the broader Senior Leadership Team to scale professional services offerings, achieve profitability targets, and drive customer value across international markets.
**Key Responsibilities:**
+ Collaborate with cross-functional field teams such as sales leadership, and Senior Leadership to build regional software and services strategies in support of revenue targets.
+ Contribute to achieving professional services margins and oversee the P&L of your region.
+ Recruit, assess, and train technical employees to meet DataRobot professional services hiring plan and performance standards
+ Retain top talent and implement development plans for employees that fail to meet standards
+ Ensure quality of delivery of professional services.
**Strategic Planning & Leadership**
+ Develop and maintain the regional professional services strategy aligned with global objectives and regional revenue goals.
+ Advise the Executive Leadership Team on AI professional services trends, risks, and opportunities, including regional P&L performance.
+ Contribute to global services strategy, operations, and administrative planning.
+ Collaborate with Sales and Account Management to support go-to-market plans, renewals, and expansion strategies.
**Operational Execution**
+ Oversee successful delivery of services across the customer lifecycle-from PoVs and onboarding to expansion and renewal.
+ Ensure adherence to performance standards across AAIE engagements in all assigned regions.
+ Own and manage the regional professional services budget, operating plan, and margin targets.
+ Monitor customer satisfaction, delivery quality, and overall health of engagements to minimize churn and maximize impact.
**Team Leadership & Development**
+ Lead, scale, and develop high-performing professional services and data science teams across international markets.
+ Recruit, onboard, and upskill technical talent in line with DataRobot's hiring plans and delivery standards.
+ Implement performance management frameworks to recognize excellence and address underperformance.
+ Foster a culture of feedback, continuous improvement, and professional growth.
**Knowledge, Skills and Abilities** **:**
**Leadership & Influence**
+ Models an owner mindset, balancing customer outcomes with internal goals.
+ Coaches and develops talent, creating a high-performance, feedback-driven culture.
+ Inspires and influences across functions and levels, even without formal authority.
**Strategic Problem Solving**
+ Applies structured thinking to solve complex AI services challenges.
+ Pushes for excellence, challenges assumptions, and integrates feedback from all stakeholders.
+ Communicates clearly and effectively with SVP-level and C-suite audiences.
**Innovation & Enablement**
+ Drives thought leadership across product, services, and go-to-market teams.
+ Participates in product innovation initiatives to enhance service delivery and customer outcomes.
+ Codifies best practices and domain knowledge to scale technical excellence across teams.
**Requisite Education and Experience / Minimum Qualifications:**
+ 10+ years of professional experience in enterprise software, services, or consulting
+ 3+ years in a senior leadership role within high-growth SaaS, customer success, or services organizations
+ 3+ years leading cross-functional or international teams
+ 3+ years experience in advanced analytics, data science, or AI/ML
+ Bachelor's degree in a technical, business, or related field; advanced degree preferred
+ U.S. Citizenship required to support engagements with federal government customers.
+ Active or ability to obtain U.S. security clearance (e.g., Public Trust, Secret, or higher) depending on customer requirements.
+ Demonstrated experience supporting U.S. federal agencies, system integrators, or defense and intelligence organizations is highly preferred.
+ Familiarity with FedRAMP, ITAR, NIST, and other relevant regulatory or compliance frameworks is a strong plus.
+ Proven ability to navigate procurement, compliance, and delivery expectations in a federal contracting environment.
+ Understanding of U.S. federal acquisition lifecycle and proposal processes (RFI/RFP/RFQ) is a bonus.
**Compensation Statement**
The U.S. annual on-target earnings (OTE) range for this full-time position is between $300,000 and $400,000 USD/year. This range represents a combination of annual base pay and targeted commission. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate's work location, job-related skills, experience, and education.
The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!
**DataRobot Operating Principles:**
+ Wow Our Customers
+ Set High Standards
+ Be Better Than Yesterday
+ Be Rigorous
+ Assume Positive Intent
+ Have the Tough Conversations
+ Be Better Together
+ Debate, Decide, Commit
+ Deliver Results
+ Overcommunicate
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. **At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.** We'd love to have a conversation with you and see if you might be a great fit.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy ( .
DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. For more information, visit our website ( and connect with us on LinkedIn ( .
**_DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot's recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf._** **_Please note that DataRobot does not ask for money in its recruitment process._** **_DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any_** **_fees. Communication_** **_from our company will be sent from a verified email address using the @_** **_datarobot.com_** **_email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond._**
**_Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels._**
Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit!

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.

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.

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.