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About the Role

This role supports the Identity Management rebuild initiative and ongoing support for the existing application. The Software Engineer will design, build, test, deploy, and operate scalable APIs, microservices, and data-intensive backend services. The role retains a solid foundation in Python and PySpark while expanding into API development, cloud-native application engineering, automation, observability, and secure software delivery.

Responsibilities

Design, develop, test, deploy, and support backend applications, RESTful APIs, and microservices for the Identity Management rebuild and existing application
Build production-quality services using Python and modern API frameworks
Develop data-intensive application components and distributed processing workflows using PySpark and Azure Databricks and Azure Data Factory
Define clear API contracts, request and response models, error-handling standards, versioning strategies, and service documentation using OpenAPI or Swagger
Implement resilient microservice patterns, including service-to-service communication, retries, timeouts, idempotency, asynchronous processing, and graceful failure handling
Create automated unit, integration, API, regression, and performance tests; integrate quality checks into CI/CD pipelines
Implement application logging, metrics, tracing, alerting, and dashboards to improve observability, incident response, and operational reliability
Apply secure coding practices, authentication and authorization controls, secrets management, encryption, and privacy-by-design principles
Troubleshoot production issues, perform root cause analysis, improve service performance, and contribute to scalability and cost optimization
Use Git-based engineering practices, code reviews, branching strategies, automated builds, release controls, and infrastructure-aware deployment workflows
Use enterprise-approved AI tools and custom agents to accelerate coding, testing, documentation, debugging, monitoring, and operational support
Collaborate with product, data engineering, platform engineering, architecture, security, and application teams to deliver priorities and communicate risks, dependencies, and progress

Requirements

5+ years of hands-on software engineering experience building and operating enterprise applications, backend services, APIs, or microservices
5+ years of hands-on experience with Python, including object-oriented programming, modular design, exception handling, packaging, automation, and maintainable coding practices
3+ years of hands-on experience developing RESTful APIs and working with API specifications, validation, authentication, versioning, and documentation
3+ years of hands-on experience with PySpark for distributed processing, transformation, data validation, and performance tuning
2+ years of working experience with Azure Databricks or similar distributed data platforms for data-intensive application use cases
2+ years of working experience with relational and NoSQL databases, data modeling, SQL, transaction patterns, and application-level data access
Experience designing and building microservices, including service decomposition, interface design, scalability, resilience, and operational support
Experience with automated testing frameworks such as pytest and unit, integration, API, and regression testing practices
Git experience, including pull requests, code reviews, branching strategies, CI/CD fundamentals, release management, and production support
Experience with Docker and a working understanding of Kubernetes or managed container platforms
Experience implementing logging, monitoring, alerting, metrics, and distributed tracing for production services
Understanding of software design principles, common design patterns, clean code, code quality, and maintainable architecture
Basic working understanding of cloud security, identity and access management, data privacy, governance, and enterprise compliance concepts
Proven good problem-solving and root cause analysis skills, with the ability to troubleshoot across application, API, data, and cloud layers
Proven good communication and collaboration skills, with the ability to explain technical decisions, risks, dependencies, and delivery progress clearly
Experience with event-driven architecture and messaging technologies such as Kafka, Azure Event Hubs, Azure Service Bus, or comparable platforms
Experience supporting performance testing, capacity planning, secure software development lifecycle practices, and cloud cost optimization
Experience building identity management, identity resolution, consumer profile, member/customer identity, or entity-resolution applications
Hands-on experience with Azure Data Factory and data pipeline orchestration
Hands-on experience building or supporting custom AI agents for coding, testing, documentation, validation, monitoring, incident triage, or workflow automation
Healthcare, insurance, consumer profile, or enterprise identity data experience
Knowledge of caching, API gateways, load balancing, rate limiting, asynchronous programming, and high-availability design
Demonstrate baseline proficiency with enterprise-approved AI tools such as GitHub Copilot, Microsoft 365 Copilot, Databricks Genie, and other approved GenAI platforms, where applicable
Apply AI tools responsibly to improve coding, code review, test creation, technical documentation, debugging, analysis, monitoring, and delivery quality
Use or support custom agents for software development, automated testing, API validation, failure detection, incident triage, runbook execution, and operational reporting
Follow enterprise guidance for responsible AI use, data protection, human review, security, and software quality
Balances solid software engineering discipline with practical data engineering knowledge
Builds secure, observable, maintainable services that can be supported reliably in production
Works effectively across application, data, platform, security, and business teams
Continuously improves engineering productivity through automation, reusable components, and responsible use of AI-assisted development tools
Candidates are required to pass a drug test before beginning employment.

Skills

Python
PySpark
API development
Cloud-native application engineering
Automation
Observability
Secure software delivery
RESTful APIs
Azure Databricks
Azure Data Factory
OpenAPI
Swagger
Microservices
Automated testing
CI/CD pipelines
Git
Docker
Kubernetes
Logging
Monitoring
Alerting
Metrics
Distributed tracing
Software design principles
Clean code
Maintainable architecture
Cloud security
Identity and access management
Data privacy
Governance
Enterprise compliance
Problem-solving
Root cause analysis
Communication
Collaboration
Event-driven architecture
Messaging technologies
Kafka
Azure Event Hubs
Azure Service Bus
Performance testing
Capacity planning
Secure software development lifecycle
Cloud cost optimization
Identity management
Identity resolution
Consumer profile
Member/customer identity
Entity-resolution
Data pipeline orchestration
Custom AI agents
Healthcare data
Insurance data
Enterprise identity data
Caching
API gateways
Load balancing
Rate limiting
Asynchronous programming
High-availability design
GitHub Copilot
Microsoft 365 Copilot
Databricks Genie
GenAI platforms

Location

Remote (U.S.)
Minneapolis
Washington, D.C.

Work Type

Remote
Onsite (minimum four days per week in Minneapolis or Washington, D.C. area)

Experience Level

5+ years of software engineering experience
2+ years of working experience with Azure Databricks or similar distributed data platforms
2+ years of working experience with relational and NoSQL databases
Experience designing and building microservices
Experience with automated testing frameworks
Git experience
Experience with Docker
Experience implementing logging, monitoring, alerting, metrics, and distributed tracing
Experience with event-driven architecture and messaging technologies
Experience supporting performance testing, capacity planning, secure software development lifecycle practices, and cloud cost optimization
Experience building identity management, identity resolution, consumer profile, member/customer identity, or entity-resolution applications
Hands-on experience with Azure Data Factory and data pipeline orchestration
Hands-on experience building or supporting custom AI agents
Healthcare, insurance, consumer profile, or enterprise identity data experience
Knowledge of caching, API gateways, load balancing, rate limiting, asynchronous programming, and high-availability design

Salary/Compensations

$72,800 - $130,000 annually

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution

About the Company

Optum Tech is a global leader in health care innovation.
Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone.
From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges.
Your contributions here have the potential to change lives.
Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone.
We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life.
Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes.
We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Equal Opportunity

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace.