What Jobs are available for Python in Jacksonville?

**Specialty/Competency:** Data, Analytics & AI
**Industry/Sector:** Not Applicable
**Time Type:** Full time
**Travel Requirements:** Up to 80%
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
+ Analyse and identify the linkages and interactions between the component parts of an entire system.
+ Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
+ Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
+ Develop skills outside your comfort zone, and encourage others to do the same.
+ Effectively mentor others.
+ Use the review of work as an opportunity to deepen the expertise of team members.
+ Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
+ Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
As part of the Data and Analytics Engineering team, you lead the development and implementation of data architecture strategies that align with business needs. As a Manager, you guide and mentor your team, delivering top-quality solutions while leveraging team strengths and managing performance to meet client expectations. You play a crucial role in collaborating with stakeholders, enhancing cloud resources, and embracing technology and innovation to improve data architecture and integration solutions.
Responsibilities
- Lead the design and execution of data architecture strategies that support business objectives
- Mentor and guide team members to deliver exceptional solutions
- Utilize team strengths to manage performance and fulfill client requirements
- Collaborate with stakeholders to enhance cloud resources effectively
- Drive innovation and technology adoption to advance data integration solutions
- Foster a culture of continuous improvement and learning within the team
- Uphold the firm's ethical standards and business conduct
- Implement strategic planning to achieve project success and quality outcomes
What You Must Have
- Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
- 5 years of experience
What Sets You Apart
- Certification in Cloud Platforms (e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate) is a plus
- Proficient in Python and SQL
- Experience with Docker and containerized deployments
- Skilled in AI techniques enhancing LLMs
- Experience in prompt engineering for LLM optimization
- Implementing data integration solutions using AWS, Azure, GCP
- Utilizing AWS CloudFormation, Azure Resource Manager, Terraform
- Building and deploying DevOps pipelines with cloud services
- Enhancing cloud resources for cost and performance
Learn more about how we work: does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link:

Our client is a rapidly scaling technology company building innovative solutions for the future, and they are seeking a highly skilled Senior Software Engineer specializing in backend development with Python. This role offers a significant opportunity to design, build, and maintain robust, scalable, and high-performance backend systems that power our core products. You will be instrumental in defining technical architecture, implementing complex features, and ensuring the reliability and efficiency of our services. The ideal candidate possesses a deep understanding of Python frameworks, database management, API design, and cloud-native architectures. A passion for clean code, best practices, and collaborative problem-solving in a remote setting is essential.

Responsibilities:

• Design, develop, and deploy scalable and efficient backend services using Python and related frameworks (e.g., Django, Flask).
• Build and maintain robust APIs for internal and external consumption, adhering to RESTful principles and best practices.
• Work with relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB, Redis) to design efficient data models and queries.
• Implement and manage cloud infrastructure (e.g., AWS, GCP, Azure) for deploying and scaling applications.
• Write clean, well-documented, and testable code, ensuring high levels of code quality and maintainability.
• Collaborate with front-end developers, product managers, and other engineers to deliver features from conception to production.
• Participate in code reviews, providing constructive feedback to peers and ensuring adherence to coding standards.
• Identify and resolve performance bottlenecks and bugs in production systems.
• Contribute to architectural discussions and technical decision-making.
• Stay abreast of emerging technologies and industry trends, evaluating their potential adoption.
• Mentor junior engineers and foster a culture of continuous learning and improvement within the engineering team.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 5+ years of professional experience in backend software development.
• Expert-level proficiency in Python and its associated libraries and frameworks.
• Strong experience designing and implementing RESTful APIs.
• Proficiency with relational databases and SQL; experience with NoSQL databases is a plus.
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
• Solid understanding of software development best practices, including version control (Git), CI/CD, and automated testing.
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication and collaboration abilities, with experience working in agile, remote teams.
• Experience with microservices architecture is highly desirable.

Join a forward-thinking engineering team and build the future of technology from your home office, based in or near Jacksonville, Florida, US .

**Specialty/Competency:** Data, Analytics & AI
**Industry/Sector:** Not Applicable
**Time Type:** Full time
**Travel Requirements:** Up to 80%
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
+ Respond effectively to the diverse perspectives, needs, and feelings of others.
+ Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
+ Use critical thinking to break down complex concepts.
+ Understand the broader objectives of your project or role and how your work fits into the overall strategy.
+ Develop a deeper understanding of the business context and how it is changing.
+ Use reflection to develop self awareness, enhance strengths and address development areas.
+ Interpret data to inform insights and recommendations.
+ Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team you leverage your proficiency in programming languages and cloud platforms to design and implement data architecture strategies that meet business needs. As a Senior Associate, you analyze complex problems, mentor others, and maintain elevated standards while building meaningful client connections and navigating ambiguity. You collaborate with business stakeholders to translate data requirements into technical solutions, safeguarding data quality and system reliability.
Responsibilities
- Design and implement data architecture strategies aligned with business objectives
- Collaborate with stakeholders to convert data requirements into technical solutions
- Maintain data integrity and system dependability
- Guide and mentor team members to uphold exemplary standards
- Analyze intricate problems to deliver impactful solutions
- Build and nurture meaningful client relationships
- Navigate uncertain situations with confidence and adaptability
- Utilize programming languages and cloud platforms to enhance data solutions
What You Must Have
- Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
- 3 years of experience
What Sets You Apart
- Certification in Cloud Platforms (e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate,) is a plus
- Skilled in programming languages like Python, Java, Scala
- Proficient in SQL and relational databases
- Experience with Docker and containerized deployments
- Familiarity with AI techniques enhancing LLMs
- Experience in prompt engineering for LLM outputs
- Designing thorough data architecture strategies
- Implementing data integration solutions using cloud services
- Managing data warehouses and data lakes
Learn more about how we work: does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link:

**Specialty/Competency:** Data, Analytics & AI
**Industry/Sector:** Not Applicable
**Time Type:** Full time
**Travel Requirements:** Up to 80%
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
+ Craft and convey clear, impactful and engaging messages that tell a holistic story.
+ Apply systems thinking to identify underlying problems and/or opportunities.
+ Validate outcomes with clients, share alternative perspectives, and act on client feedback.
+ Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
+ Deepen and evolve your expertise with a focus on staying relevant.
+ Initiate open and honest coaching conversations at all levels.
+ Make difficult decisions and take action to resolve issues hindering team effectiveness.
+ Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
Demonstrates in-depth abilities and/or success in one or many of the following areas:
+ Strong proficiency in Python and experience with structured and unstructured data.
+ Strong proficiency in SQL and experience with relational databases.
+ Experience writing and maintaining FastAPI endpoints for scalable applications.
+ Strong understanding of AI techniques that enhance LLMs, such as AI Agents, Retrieval-Augmented Generation (RAG), etc.
+ Experience in prompt engineering for optimizing LLM outputs.
+ Experience with AI, GenAI, and machine learning and data science workflows.
+ Experience with machine learning and data science workflows is a plus.
+ Experienced in high software quality through developer-led testing, validation, and best practices.
+ Understanding of developer-led quality assurance, including automated testing, performance tuning, and debugging.
+ Knowledge of software development workflows and CI/CD pipelines.
+ Work with Docker, including writing Docker files and managing containerized deployments.
+ Develop and deploy scalable data storage solutions using AWS, Azure, and GCP services such as S3, Redshift, PostGresDB RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage, etc.
+ Knowledge of data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow, and other relevant services.
+ Design and manage data warehouses and data lakes, ensuring data is organized and accessible.
+ Design and implement comprehensive data architecture strategies that meet the current and future business needs.
+ Develop and document data or system models, flow diagrams, and architecture guidelines.
+ Ensure data architecture is compliant with data governance and data security policies.
+ Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions.
+ Evaluate and recommend new data technologies and tools to enhance data architecture.
+ Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP.
+ Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments.
+ Use AWS, Azure, and GCP DevOps services to build and deploy DevOps pipelines.
+ Optimize Cloud resources for cost, performance, and scalability.
+ Knowledge of data governance and data security best practices.
+ Strong analytical, problem-solving, and communication skills.
+ Ability to work independently and as part of a team in a fast-paced environment.
Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas:
+ Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;
+ Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;
+ Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and,
+ Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance.
Learn more about how we work: does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link:

**Job Description**
**Job Summary**
Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience.
**Job Duties**
- **Research and Development:** Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.
- **AI Model Deployment, Monitoring & Model Governance:** Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness and meet all governance and regulatory requirements.
- **Innovation Projects:** Lead pilot projects to test and implement new AI technologies within the organization
- **Data Analysis and Interpretation:** Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.
- **Machine Learning Model Development** : Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
- **Agentic Workflows Implementation:** Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.
- **RAG Pattern Utilization:** Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.
- **Model Fine-Tuning** : Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.
- **Data Cleaning and Preprocessing:** Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.
- **Collaboration:** Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.
- **Documentation and Reporting:** Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.
- Mentors, coaches, and provides guidance to newer data scientists.
- Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives.
- Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate
- Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions.
- Use a broad range of tools and techniques to extract insights from current industry or sector trends
**Job Qualifications**
**REQUIRED EDUCATION:**
Master's Degree in Computer Science, Data Science, Statistics, or a related field
**REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:**
- 10+ years' work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
- Knowledge of big data technologies (e.g., Hadoop, Spark)
- Familiar with relational database concepts, and SDLC concepts
- Demonstrate critical thinking and the ability to bring order to unstructured problems
- **Technical Proficiency:** Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
- **Statistical Analysis:** Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.
- **Experience with Agentic Workflows:** Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.
- **RAG Techniques:** Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.
- **Model Fine-Tuning Expertise:** Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.
- **Data Visualization:** Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.
- **Database Management:** Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
- **Problem-Solving Skills:** Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.
**PREFERRED EDUCATION:**
PHD or additional experience
**PREFERRED EXPERIENCE:**
- Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models.
- Familiarity with natural language processing (NLP) and computer vision techniques.
#PJCorp2
#LI-AC1
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $117,731 - $275,491 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

Our client, a fast-paced tech company developing cutting-edge cloud solutions, is seeking a highly skilled Senior Software Development Engineer to join their dynamic team in Jacksonville, Florida, US . This role is ideal for a seasoned developer with a passion for building scalable, robust, and efficient software. You will be instrumental in designing, developing, testing, and deploying complex software applications, contributing to all phases of the development lifecycle. Working in a hybrid model, you will collaborate closely with product managers, other engineers, and quality assurance teams to deliver high-quality software that meets client needs. This position offers significant opportunities for professional growth and the chance to work with modern technologies.

Responsibilities:

• Design, develop, and implement high-quality, scalable software solutions using (mention relevant programming languages, e.g., Java, Python, C++).
• Write clean, maintainable, and efficient code, adhering to coding standards and best practices.
• Participate in code reviews, providing constructive feedback to peers and ensuring code quality.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Troubleshoot, debug, and resolve software defects and issues reported by QA or customers.
• Contribute to architectural discussions and decisions for new and existing systems.
• Develop and maintain automated tests, including unit, integration, and end-to-end tests.
• Optimize application performance and scalability.
• Mentor junior engineers and share technical expertise within the team.
• Stay up-to-date with emerging technologies and industry trends.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years of professional software development experience.
• Proven expertise in one or more modern programming languages (e.g., Java, Python, C#, Go).
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is highly desirable.
• Strong understanding of data structures, algorithms, and object-oriented design principles.
• Experience with database technologies (SQL and/or NoSQL).
• Familiarity with Agile development methodologies.
• Excellent problem-solving, debugging, and analytical skills.
• Strong communication and interpersonal skills, with the ability to work effectively in a team environment.
• Experience with microservices architecture and containerization (Docker, Kubernetes) is a plus.

Join a forward-thinking company and make a significant impact on innovative software products.

Our client is looking for a talented and experienced Senior Software Development Engineer to contribute to cutting-edge projects. This is a 100% remote position, allowing you to work from any location within the United States. You will be responsible for designing, developing, testing, and deploying high-quality software solutions. This role involves full-stack development, working with modern technologies and best practices to build scalable, robust applications. Key responsibilities include writing clean, efficient, and maintainable code, participating in code reviews, and collaborating with cross-functional teams, including product managers, designers, and other engineers. You will contribute to architectural decisions, identify and address technical debt, and mentor junior engineers. The ideal candidate will have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. A minimum of 5 years of professional software development experience is required. Proficiency in at least one major programming language (e.g., Java, Python, C#, JavaScript) and experience with cloud platforms (AWS, Azure, or GCP) are essential. Strong understanding of data structures, algorithms, and software design patterns is a must. Experience with agile development methodologies, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes) is highly desirable. Excellent problem-solving skills, a passion for learning new technologies, and strong communication abilities for effective remote collaboration are critical. If you are a seasoned engineer eager to work on challenging problems in a flexible, remote-first environment, we invite you to apply and help our client build the next generation of innovative software.

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.
Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies
Certified as a Great Place to Work®
Fortune Best Workplaces in Financial Services & Insurance
Security Engineer - Secure Software Development
Security Engineer - Secure Software Development
**PRIMARY PURPOSE OF THE ROLE:** To manage the implementation of security measures to protect company data, networks, and computer systems. To focus on executing security fundamentals for threat detection, investigation, and response efforts.
**ARE YOU AN IDEAL CANDIDATE?** We are looking for enthusiastic candidates who thrive in a collaborative environment, who are driven to deliver great work, are customer-oriented and are naturally empathetic.
**ESSENTIAL RESPONSIBLITIES MAY INCLUDE**
+ Engineers, implements and monitors security measures for the protection of computer systems, networks and information.
+ Identifies and defines system security requirements.
+ Designs computer security architecture and develops detailed cyber security designs.
+ Prepares and documents standard operating procedures and protocols.
+ Configures and troubleshoots security infrastructure devices.
+ Develops technical solutions and new security tools to assist in mitigating security vulnerabilities and automating repeatable tasks.
+ Leads IT groups and business units as necessary in troubleshooting compatibility issues between security tools and business or productivity programs.
+ Performs analysis of suspected malicious code and other software or programs and provides written or verbal analysis to management.
+ Analyzes client and customer needs as required and provides clear and concise reports to leadership.
+ Works closely with management on assigned projects from inception through implementation ensuring adequate internal communication and user involvement is maintained.
**QUALIFICATIONS**
Eight (8) years of encryption technologies/algorithms, digital forensics, network topologies, and access controls experience or equivalent combination of educated and experience required.
**Skills & Knowledge**
+ Knowledge of TCP/IP services
+ Knowledge of audit and compliance
+ Knowledge of vulnerability management
+ Knowledge of penetration testing
+ Knowledge of various operating systems
+ Knowledge of desktop productivity software
+ Knowledge of Carbon Black Protection
+ Knowledge of Symantec Endpoint Protection and host data loss prevention
+ Knowledge of information technology security frameworks
+ Excellent oral and written communication skills, including presentation skills
+ PC literate, including Microsoft Office products
+ Analytical and interpretive skills
+ Strong organizational skills
+ Excellent interpersonal skills
+ Ability to create and complete comprehensive, accurate and constructive written reports
+ Ability to work in a team environment
+ Ability to meet or exceed Performance Competencies
**Proficient in Snyk for Application Security:** Demonstrated expertise in integrating Snyk into CI/CD pipelines to proactively identify and remediate vulnerabilities in open-source dependencies, container images, and infrastructure as code. Skilled in leveraging Snyk's developer-first tools to maintain secure codebases, enforce security policies, and ensure compliance with industry standards. Experienced in configuring automated scans, interpreting results, and collaborating with development teams to implement effective remediation strategies, contributing to a robust DevSecOps culture.
**TAKING CARE OF YOU**
+ Career development and promotional growth opportunities
+ A diverse and comprehensive benefits offering including medical, dental vision, 401K, PTO and more
#LI-TS1
Work environment requirements for entry-level opportunities include -
Physical: Computer keyboarding
Auditory/visual: Hearing, vision and talking
Mental: Clear and conceptual thinking ability; excellent judgement and discretion; ability to meet deadlines
Travels as required
The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time.
Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
**If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.**
**Sedgwick is the world's leading risk and claims administration partner, which helps clients thrive by navigating the unexpected. The company's expertise, combined with the most advanced AI-enabled technology available, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall. With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for the rapidly changing and complex risk landscape. For more, see** **sedgwick.com**

Our client is seeking a dedicated and experienced Project Manager to oversee the entire software development lifecycle (SDLC) within their innovative, fully remote organization. This role demands a leader capable of managing multiple projects concurrently, ensuring seamless execution from conception through deployment and ongoing support. You will be responsible for defining project scope, objectives, and deliverables; creating comprehensive project plans; allocating resources effectively; and mitigating risks to ensure successful project outcomes. This is a critical role requiring strong communication and stakeholder management skills, as you will collaborate closely with engineering teams, product managers, and other key stakeholders across the organization. The ability to foster a collaborative and productive team environment, even in a remote setting, is essential. Key responsibilities include facilitating sprint planning, daily stand-ups, sprint reviews, and retrospectives; tracking project progress and performance metrics; and reporting updates to senior management. You will also be responsible for managing project budgets and ensuring that projects align with strategic business goals.

The ideal candidate will hold a Bachelor's degree in Computer Science, Information Technology, or a related field, coupled with at least 5 years of experience managing software development projects. PMP or Agile certifications (e.g., CSM, PMP, PRINCE2) are highly desirable. A thorough understanding of various SDLC methodologies, including Agile (Scrum, Kanban) and Waterfall, is required. Proficiency with project management software such as Jira, Asana, or Trello is essential. You must possess strong leadership, organizational, and problem-solving skills, with the ability to communicate effectively with technical and non-technical audiences. Experience with risk management and change management processes is also important. This is a fully remote position, requiring a high degree of self-discipline, proactivity, and excellent virtual communication skills. If you are a results-oriented Project Manager looking to drive impactful software initiatives in a flexible, remote-first culture, and are based in or near Jacksonville, Florida, US , we encourage you to apply.