Senior Software Engineer I - Java Python Full Stack at Optum | UnitedHealth Group
Job Type: Full-Time
Job Category: Technology
Company: Optum, UnitedHealth Group
Job Title: Senior Software Engineer I - Java Python Full Stack
Requisition Number: 2381187
Primary Location: India
Date Posted: August 17, 2026
Experience Level: Senior Software Engineer I
Employment Status: Exempt
Travel Required: No
Education: Bachelor's degree in Computer Science, Software Engineering, related discipline, or equivalent practical experience
Work Area: Software Engineering, Full Stack Development, Cloud, APIs, Quality Engineering, AI-Assisted Development
Optum Senior Software Engineer I - Java Python Full Stack Job Overview
Optum, part of UnitedHealth Group, is hiring for a Senior Software Engineer I - Java Python Full Stack position in India. The role focuses on building, testing, deploying, monitoring, and maintaining production-grade software across APIs, services, applications, data workflows, and cloud-native components.
The position is particularly relevant for software engineers with experience in Java, Python, full-stack development, APIs, cloud-native engineering, CI/CD, automated testing, observability, secure software development, and modern AI-assisted development practices.
A notable part of this opening is its emphasis on AI-Driven Development Lifecycle (AIDLC) practices. Engineers are expected to use approved AI-assisted development tools responsibly across requirements analysis, solution design, coding, refactoring, code review, documentation, testing, and release-readiness activities while maintaining human accountability for production outputs.
Google recommends that job-posting structured data accurately represent the complete job description and that the markup be placed on the individual job-detail page rather than a general jobs listing page.
Key Job Highlights
| Job Detail | Information |
|---|---|
| Company | Optum / UnitedHealth Group |
| Job Role | Senior Software Engineer I - Java Python Full Stack |
| Requisition Number | 2381187 |
| Job Category | Technology |
| Location | India |
| Posted On | August 17, 2026 |
| Travel | No |
| Overtime Status | Exempt |
| Education | Bachelor's degree or equivalent practical experience |
| Core Technologies | Java, Python, APIs, Full Stack Development |
| Engineering Areas | Cloud, CI/CD, Testing, Security, Observability |
| AI Focus | AI-Driven Development Lifecycle (AIDLC) |
| Testing | Unit, API, Integration, Contract, E2E, Regression, Performance, Security, Resiliency |
| Work Style | Agile, cross-functional engineering |
| Employer | Optum / UnitedHealth Group |
About Optum
Optum is a global healthcare organization that combines technology, data, care, pharmacy benefits, and other resources to help improve health outcomes.
For this engineering position, software development is directly connected to large-scale healthcare technology systems. Engineers are expected to build reliable and secure systems while collaborating with product, architecture, quality, security, data, platform, and operations teams.
Senior Software Engineer I - Java Python Full Stack Responsibilities
The selected candidate will work across the complete software delivery lifecycle.
1. Software Design and Development
Responsibilities include:
Designing software solutions across APIs, services, applications, data workflows, and cloud-native components.
Developing production-quality software using modern engineering principles.
Writing maintainable and secure code.
Applying object-oriented or functional programming techniques.
Using design patterns, data structures, and algorithms.
Developing and maintaining full-stack software components.
Testing and validating software before production deployment.
Supporting applications throughout their lifecycle.
2. AI-Driven Development Lifecycle
A major requirement of this position is adopting AIDLC as an engineering methodology rather than simply using AI coding tools.
Engineers will be expected to:
Convert requirements into clear technical specifications.
Plan technical approaches before implementation.
Break larger requirements into smaller executable tasks.
Use enterprise-approved AI-assisted development tools.
Apply AI assistance to coding, refactoring, documentation, testing, code review, and release preparation.
Review AI-generated code before production use.
Validate AI-generated content for correctness, security, maintainability, licensing, performance, and engineering standards.
Avoid exposing confidential, proprietary, regulated, or personal information to unapproved AI services.
Create reusable prompts, patterns, tests, and engineering practices that can improve team productivity.
3. CI/CD and DevOps
The role requires engineers to participate in modern software delivery practices, including:
CI/CD pipeline implementation.
Version control.
Automated builds.
Static code analysis.
Dependency scanning.
Security scanning.
Deployment controls.
Rollback strategies.
Automated quality gates.
Continuous validation.
4. Production Operations and Observability
Engineers are also expected to design software for operational excellence.
This includes:
Structured logging.
Metrics.
Distributed tracing.
Telemetry.
Health checks.
Alerting.
Runbooks.
Production monitoring.
Troubleshooting.
Root-cause analysis.
Reliability and resiliency improvements.
5. Quality Engineering and Automated Testing
Quality is expected to be incorporated from the beginning of the development lifecycle.
Candidates may work with:
Unit testing.
Component testing.
API testing.
Integration testing.
Contract testing.
End-to-end testing.
Regression testing.
Performance testing.
Security testing.
Resiliency testing.
Test-driven development.
Behavior-driven development.
Automated test generation.
Test-data creation.
Coverage-gap analysis.
CI/CD quality gates.
The role also requires consideration of non-functional requirements such as:
Performance.
Scalability.
Reliability.
Security.
Accessibility.
Operability.
6. Agile Collaboration
The engineer will collaborate with multiple technical and business functions, including:
Product teams.
Architecture teams.
Quality engineering.
Security.
Data teams.
Platform engineering.
Operations.
The position also involves:
Agile planning.
Backlog refinement.
Estimation.
Reviews.
Retrospectives.
Peer reviews.
Pair programming.
Technical documentation.
Knowledge sharing.
Practical coaching.
7. Legacy Modernization
The position also involves improving existing technology environments.
Responsibilities may include:
Modernizing legacy components.
Automating manual workflows.
Creating reusable engineering assets.
Improving maintainability.
Increasing engineering consistency.
Improving team delivery throughput.
Required Qualification
The official job description lists the following primary educational requirement:
Bachelor's degree in Computer Science, Software Engineering, a related discipline, or equivalent practical experience.
Because the supplied posting does not specify a fixed minimum number of years of experience, candidates should avoid inventing an experience requirement on their resumes or applications.
Skills to Highlight for This Job
Candidates targeting this position should prioritize the skills that are explicitly connected to the role.
Core Programming Skills
Java
Python
Object-Oriented Programming
Functional Programming
Data Structures
Algorithms
Design Patterns
Full Stack and API Development
Full Stack Development
API Development
REST APIs
Backend Services
Application Development
Service Development
Data Workflows
Cloud and DevOps
Cloud-Native Development
CI/CD
Automated Builds
Version Control
Deployment Automation
Rollback Strategies
Static Analysis
Dependency Scanning
Security Scanning
Testing and Quality Engineering
Unit Testing
Component Testing
API Testing
Integration Testing
Contract Testing
End-to-End Testing
Regression Testing
Performance Testing
Security Testing
Resiliency Testing
Test-Driven Development
Behavior-Driven Development
Automated Testing
Test Coverage
Production Engineering
Observability
Telemetry
Structured Logging
Metrics
Distributed Tracing
Alerting
Health Checks
Runbooks
Root-Cause Analysis
Production Monitoring
AI-Assisted Engineering
AIDLC
AI-Assisted Development
AI-Assisted Coding
AI-Assisted Testing
AI Code Review
AI Test Generation
Prompt Engineering
Responsible AI
Human-in-the-Loop Validation
Engineering Practices
Agile
Code Reviews
Pair Programming
Technical Documentation
Secure Software Development
Software Modernization
Automation
Cross-Functional Collaboration
Who Should Apply?
This position is especially relevant for candidates who have a combination of software engineering and modern delivery experience.
Strong candidates may have experience with:
Java and Python development.
Full-stack application development.
API and service development.
Automated testing.
CI/CD pipelines.
Cloud-native applications.
Production monitoring and troubleshooting.
Secure software development.
Agile engineering environments.
AI-assisted software development.
Candidates should focus their resumes on demonstrated experience, rather than simply listing every technology they have encountered.
How to Make Your Resume ATS-Friendly for This Job
The job description contains several high-value technical and engineering terms. ATS optimization should therefore focus on accurate keyword alignment rather than keyword stuffing.
1. High-Priority Job Titles
Use the closest truthful title available to your background.
Recommended target title:
Senior Software Engineer - Java Python Full Stack
Other relevant titles, when factually accurate, may include:
Senior Software Engineer
Software Engineer
Full Stack Software Engineer
Java Full Stack Developer
Java Python Developer
Full Stack Developer
Do not change your actual employment title in a way that misrepresents your employment history.
2. Highest-Priority Technical Keywords
Prioritize these keywords when they genuinely match your experience:
Java, Python, Full Stack Development, APIs, CI/CD, Cloud-Native, Automated Testing, Unit Testing, Integration Testing, REST APIs, Security Scanning, Static Analysis, Observability, Structured Logging, Metrics, Tracing, Agile, Data Structures, Algorithms, Design Patterns, AI-Assisted Development, AIDLC.
3. Where to Place Keywords
Resume headline:
Use the target engineering specialization where appropriate.
Professional summary:
Include Java, Python, full-stack development, APIs, cloud, CI/CD, testing, and relevant AI-assisted development experience.
Technical Skills:
Create clearly labeled categories rather than one enormous keyword list.
Professional Experience:
Prioritize keywords inside achievement-oriented bullet points.
Projects:
Mention technologies together with what you actually built.
Education:
Clearly state the degree and discipline.
4. ATS Keyword Placement Strategy
Instead of writing:
Java, Python, API, AWS, CI/CD, testing, AI, Agile
write experience-based statements such as:
Developed Java and Python services and APIs, integrated automated testing into CI/CD workflows, and improved production reliability through structured logging, monitoring, and root-cause analysis.
This gives the ATS relevant terms while giving recruiters evidence of actual usage.
Keyword-Stuffing Mistakes to Avoid
Do not:
Repeat the same keyword dozens of times.
Add technologies you have never used.
Copy the entire job description into the resume.
Add fake AI experience merely because the posting emphasizes AIDLC.
List cloud platforms without explaining how you used them.
Claim senior-level responsibilities without supporting experience.
Add certifications that you do not possess.
The objective is keyword relevance plus evidence.
Freshers Resume Strategy: 0-1 Year Experience
A fresher applying to this position should not attempt to manufacture senior-level experience.
Instead, emphasize:
Java projects.
Python projects.
Full-stack projects.
REST APIs.
Databases.
Automated testing.
Git/version control.
CI/CD projects.
Cloud projects.
Data structures and algorithms.
Object-oriented programming.
Software engineering principles.
AI-assisted development projects, if genuinely completed.
Fresher Resume Sample
PROFESSIONAL SUMMARY
Computer Science / Software Engineering graduate with hands-on experience developing software applications using Java and Python, building APIs, implementing full-stack solutions, and applying software engineering principles across academic and personal projects. Familiar with object-oriented programming, data structures and algorithms, automated testing, version control, CI/CD concepts, cloud-native development, and Agile methodologies. Interested in building secure, maintainable, reliable software and applying responsible AI-assisted development practices.
TECHNICAL SKILLS
Programming: Java, Python, JavaScript
Software Engineering: Object-Oriented Programming, Data Structures, Algorithms, Design Patterns
Development: Full Stack Development, API Development, REST APIs, Backend Services
Testing: Unit Testing, Integration Testing, API Testing, Automated Testing
DevOps: Git, CI/CD, Automated Builds, Static Analysis
Cloud: Cloud-Native Development, Cloud Platforms
Engineering: Agile, Code Review, Debugging, Root-Cause Analysis
AI Development: AI-Assisted Coding, AI-Assisted Testing, Prompt Engineering, Responsible AI
PROJECT EXPERIENCE
Full Stack Application | Java, Python, REST API, Database
Developed a full-stack application using modern software engineering principles and object-oriented programming.
Designed and implemented APIs for communication between application components.
Built backend functionality using Java/Python based on project requirements.
Implemented validation and error handling to improve application reliability.
Created automated tests for key application functionality.
Used Git for version control and maintained organized development workflows.
Investigated application failures and performed debugging to identify root causes.
Software Engineering Project | Java/Python
Implemented algorithms and data structures to solve application requirements efficiently.
Applied reusable design patterns and modular programming principles.
Developed test cases covering normal, boundary, and error scenarios.
Documented technical decisions and implementation details.
Used AI-assisted development tools where appropriate and manually validated generated code.
EDUCATION
Bachelor's Degree in Computer Science / Software Engineering / Related Discipline
University Name | Graduation Year
Experienced Resume Strategy: 2-4 Years
Candidates with 2-4 years of experience should focus on measurable engineering outcomes.
Prioritize:
Java.
Python.
Full-stack engineering.
APIs and microservices.
CI/CD.
Cloud.
Automated testing.
Production support.
Observability.
Security.
Agile development.
AI-assisted development.
Experienced Resume Sample
PROFESSIONAL SUMMARY
Software Engineer with 2-4 years of experience developing and supporting production applications using Java and Python, with hands-on experience across full-stack development, APIs, automated testing, CI/CD, cloud-native engineering, and production troubleshooting. Experienced in designing maintainable services, improving automated quality gates, implementing observability, collaborating across Agile teams, and applying modern software engineering practices to improve delivery quality and reliability.
CORE SKILLS
Languages: Java, Python, JavaScript
Development: Full Stack Development, API Development, REST APIs, Backend Services
Architecture: Microservices, Object-Oriented Design, Design Patterns, Cloud-Native Applications
DevOps: CI/CD, Git, Automated Builds, Static Analysis, Security Scanning, Deployment Automation
Testing: Unit, Component, API, Integration, Contract, E2E, Regression, Performance, Security Testing
Operations: Observability, Logging, Metrics, Tracing, Alerting, Monitoring, Root-Cause Analysis
Engineering: Agile, Code Reviews, Pair Programming, Secure Development, Legacy Modernization
AI: AI-Assisted Development, AI-Assisted Testing, Test Generation, Prompt Engineering, Responsible AI
PROFESSIONAL EXPERIENCE
Software Engineer | Company Name
Location | Month Year - Present
Designed, developed, tested, deployed, and maintained production software using Java and Python.
Developed APIs and backend services supporting application and business workflows.
Improved application quality by implementing automated unit, integration, and API testing.
Integrated automated testing, static analysis, dependency checks, and security scanning into CI/CD workflows.
Implemented structured logging, metrics, health checks, and monitoring to improve production observability.
Investigated production incidents, performed root-cause analysis, and implemented corrective actions.
Collaborated with product, architecture, quality, security, data, and operations teams to deliver incremental software improvements.
Participated in Agile planning, refinement, estimation, code reviews, and retrospectives.
Modernized legacy components and automated repetitive engineering workflows to improve maintainability and delivery efficiency.
Evaluated AI-generated code and tests for correctness, security, performance, maintainability, and alignment with engineering standards.
SELECTED PROJECT
Java/Python Full Stack Platform
Developed scalable application components using Java and Python.
Built and maintained APIs connecting frontend and backend services.
Implemented automated testing and CI/CD quality gates.
Added logging, metrics, health checks, and monitoring for production support.
Improved reliability through error handling, validation, testing, and deployment controls.
Freshers vs Experienced Skill Comparison
| Skill / Requirement | Freshers | 2-4 Years Experienced |
|---|---|---|
| Java | Projects / coursework | Production development |
| Python | Projects / coursework | Production development / automation |
| Full Stack | Academic/personal projects | Production applications |
| APIs | Project implementation | API design and maintenance |
| CI/CD | Project exposure | Pipeline implementation |
| Cloud | Academic/project exposure | Cloud-native production systems |
| Automated Testing | Unit/API projects | Multi-level automated testing |
| Security | Fundamentals | Security scanning and secure development |
| Observability | Basic monitoring projects | Production telemetry and RCA |
| Agile | Academic/team projects | Sprint planning and delivery |
| AI-Assisted Development | Projects/learning | Production-reviewed AI workflows |
| AIDLC | Learn and demonstrate understanding | Apply throughout delivery lifecycle |
| Legacy Modernization | Project understanding | Actual modernization experience |
| Root-Cause Analysis | Debugging projects | Production incident analysis |
| Technical Documentation | Project documentation | Engineering documentation |
| Code Reviews | Academic/team projects | Peer reviews and mentoring |
AIDLC: What Candidates Should Understand
AIDLC is one of the most distinctive parts of this job description.
Candidates should understand that the employer is not simply asking whether an engineer knows how to use an AI coding assistant.
The expectation is a structured development workflow:
Requirement → Specification → Technical Plan → Smaller Tasks → Implementation → Automated Validation → Human Review → Release → Monitoring → Improvement
Candidates preparing for interviews should be ready to explain how they would use AI responsibly while retaining engineering accountability.
Example Interview Answer
A strong answer could explain:
"I would use approved AI tools to accelerate repetitive development activities such as generating test cases, refactoring suggestions, documentation, or initial implementation ideas. However, I would treat AI-generated output as a starting point rather than an authoritative solution. I would validate the output through code review, automated tests, security checks, performance considerations, and alignment with the application's requirements before allowing it into production."
This directly addresses the role's emphasis on human accountability and responsible AI-assisted engineering.
Important Resume Keywords From the Job Description
Programming
Java
Python
Object-Oriented Programming
Functional Programming
Data Structures
Algorithms
Design Patterns
Development
Full Stack Development
API Development
Applications
Services
Data Workflows
Cloud-Native Components
Software Development
DevOps
CI/CD
Version Control
Automated Builds
Static Analysis
Dependency Scanning
Security Scanning
Deployment Controls
Rollback Strategies
Testing
Unit Testing
Component Testing
API Testing
Integration Testing
Contract Testing
End-to-End Testing
Regression Testing
Performance Testing
Security Testing
Resiliency Testing
Test-Driven Development
Behavior-Driven Development
Production Engineering
Telemetry
Structured Logging
Metrics
Tracing
Alerting
Health Checks
Runbooks
Production Monitoring
Root-Cause Analysis
AI
AIDLC
AI-Assisted Development
AI-Assisted Testing
AI Test Generation
Test-Data Creation
Coverage-Gap Analysis
Responsible AI
Human Review
Prompt Engineering
Collaboration
Agile
Product
Architecture
Quality
Security
Data
Platform
Operations
Peer Reviews
Pairing
Technical Documentation
Coaching
How to Prepare for the Interview
Candidates should prepare for technical questions around the following areas.
Java
Object-oriented programming.
Collections.
Exception handling.
Multithreading and concurrency.
Java memory concepts.
Streams and functional programming.
Design patterns.
Data structures and algorithms.
API development.
Python
Python data structures.
Functions and modules.
Exception handling.
Object-oriented Python.
File and API handling.
Automation.
Testing.
Performance considerations.
Full Stack
Frontend/backend communication.
REST APIs.
Authentication and authorization.
API error handling.
Database integration.
Application architecture.
Performance optimization.
CI/CD
CI/CD pipeline design.
Automated testing.
Static analysis.
Security scanning.
Deployment strategies.
Rollbacks.
Quality gates.
Testing
Be prepared to explain the difference between:
Unit testing.
Integration testing.
API testing.
Contract testing.
End-to-end testing.
Regression testing.
Performance testing.
Security testing.
Production Engineering
Prepare examples involving:
A production incident.
Debugging.
Root-cause analysis.
Monitoring.
Logging.
Metrics.
Alerting.
Service reliability.
Performance issues.
AI-Assisted Development
Expect questions such as:
How do you validate AI-generated code?
How can AI improve software testing?
What risks exist when using AI coding tools?
How would you prevent confidential information from being exposed to AI tools?
How would you evaluate AI-generated code for security?
How can AI improve developer productivity without reducing code quality?
What does human accountability mean in AI-assisted development?
Frequently Asked Questions
1. What is the job title?
The position is Senior Software Engineer I - Java Python Full Stack.
2. What is the requisition number?
The requisition number is 2381187.
3. Which company is hiring?
The role is with Optum, part of UnitedHealth Group.
4. Where is the job located?
The primary location listed in the supplied posting is India.
5. When was the job posted?
The supplied job posting shows August 17, 2026 as the posting date.
6. What technologies are most important?
The most prominent technologies and engineering areas include Java, Python, full-stack development, APIs, CI/CD, cloud-native components, automated testing, observability, security, and AI-assisted development.
7. Is a degree required?
The listed qualification is a Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent practical experience.
8. Does the job require travel?
The posting states Travel: No.
9. Does the job mention a salary?
No salary information was included in the supplied job description. Do not add an estimated salary to the JobPosting structured data unless the salary is actually published on the page.
10. Does the job specify a minimum number of years of experience?
The supplied qualification section does not specify a fixed minimum number of years of experience.
11. What is AIDLC?
AIDLC refers to an AI-Driven Development Lifecycle approach in which AI assistance is incorporated into software delivery while engineers remain accountable for validating and approving production outputs.
12. Can freshers apply?
The supplied posting does not explicitly state a minimum number of years of experience. However, the title is Senior Software Engineer I and the responsibilities describe production-level engineering, operational excellence, testing, CI/CD, and cross-functional delivery. Candidates should therefore assess their actual skills and experience rather than relying solely on the absence of a stated minimum.
13. How can I improve my chances?
Tailor your resume around the actual requirements of the role. Prioritize Java, Python, full-stack development, APIs, CI/CD, automated testing, cloud-native engineering, observability, security, Agile development, and responsible AI-assisted development where these skills genuinely match your background.
Application Information
Interested candidates should review the official Optum / UnitedHealth Group job listing and verify the current application status before applying.
Official job: UnitedHealth Group Careers - Senior Software Engineer I - Java Python Full Stack
Because job availability can change, candidates should apply through the employer's current job-detail page rather than relying on an older copy of the listing.
Final Candidate Checklist
Bachelor's degree in Computer Science, Software Engineering, related discipline, or equivalent practical experience
Java experience accurately represented
Python experience accurately represented
Full-stack development experience highlighted
API development included where applicable
CI/CD experience included where applicable
Automated testing clearly demonstrated
Cloud-native experience included where applicable
Observability and production support experience included where applicable
Security practices mentioned where genuinely applicable
Agile experience included
AIDLC / AI-assisted development experience included only when genuine
Quantifiable achievements added to experience bullets
Resume is ATS-parsable
No keyword stuffing
No fabricated technologies or experience
Resume matches the actual job requirements
Official job page checked before applying
SEO Information
SEO Title:
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Meta Description:
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Conclusion
The Senior Software Engineer I - Java Python Full Stack opportunity at Optum is broader than a conventional Java developer position. The role combines Java and Python development with full-stack engineering, APIs, cloud-native development, CI/CD, automated quality engineering, production observability, security, Agile delivery, legacy modernization, and AI-assisted software development.
The strongest applications will therefore present the candidate as a production-oriented software engineer, not simply as someone who knows Java or Python.
For ATS optimization, prioritize the exact technical language used by the posting while supporting each major keyword with real project or professional evidence. For interview preparation, pay particular attention to Java, Python, APIs, testing, CI/CD, production troubleshooting, observability, software design, and responsible AI-assisted development.