Senior Software Engineer

UnitedHealth Group•Eden Prairie, MN

16h•Remote

About The Position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work with this team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data, and resources they need to feel their best. The culture is guided by inclusion, talented peers, comprehensive benefits, and career development opportunities. This role offers the flexibility to telecommute from anywhere within the U.S. and involves advancing health optimization on a global scale.

Requirements

High School Diploma/GED (or higher)
7+ years of experience in full-stack software engineering, with a strong foundation in modern front-end frameworks and backend/API development, and a track record of delivering production-quality systems
7+ years of experience contributing to system design and architectural decisions for scalable, reliable, and performant distributed systems, exercising sound technical judgment without formal managerial responsibility
7+ years of experience using deep practical knowledge of cloud-native architectures and DevOps practices, including CI/CD pipelines, containerization, and operating services in production environments
7+ years of experience integrating AI and ML capabilities into real-world applications, with an understanding of model inference patterns, latency and throughput considerations, and scalability tradeoffs
7+ years of experience securing application development, including authentication and authorization patterns, identity and access management concepts, and compliance considerations relevant to enterprise or regulated environments
7+ years of experience providing technical leadership through collaboration, code quality, design reviews, and mentorship, influencing engineering outcomes without direct people management
Strong hands-on experience with modern front-end frameworks such as React or Angular, including TypeScript, state management, and performance optimization for complex, data-driven applications
Proficiency in building and operating backend services using Python (FastAPI), Node.js, or equivalent modern frameworks, with experience designing RESTful APIs, handling versioning, and implementing asynchronous and event-driven workflows
Practical experience deploying and operating applications in cloud environments (AWS, Azure, or GCP), with strong command of Docker, container-based runtimes, and cloud-native service patterns
Hands-on experience with CI/CD pipelines, automated testing, and deployment workflows, with familiarity using tools such as GitHub Actions, GitLab CI, or equivalent platforms to support reliable, repeatable delivery
Experience implementing secure application patterns, including authentication and authorization (OAuth2, RBAC, token-based access), secrets management, and secure data handling practices appropriate for regulated environments
Experience integrating AI and ML capabilities into production applications, including working with model inference APIs, feature pipelines, and data-driven services.
Working knowledge of logging, metrics, and tracing for distributed systems, with experience using observability tools and dashboards to monitor performance, reliability, and system behavior

Nice To Haves

Exposure to healthcare technology environments, including clinical systems, healthcare data platforms, or regulated data workflows, with an understanding of security, privacy, and compliance considerations (e.g., HIPAA-aligned controls)

Responsibilities

Design, build, and evolve end-to-end full-stack systems spanning front-end applications, backend services, APIs, and integrations
Contribute to architectural decisions around scalability, reliability, performance, and security in distributed systems
Apply and uphold engineering standards, design patterns, and best practices through code, reviews, and technical collaboration
Work closely with Product, Data, Security, and Platform partners to translate requirements into robust technical solutions
Develop modern front-end applications using React or Angular with TypeScript, with a strong focus on usability and performance
Build and maintain backend services and APIs using RESTful patterns and modern frameworks (e.g., FastAPI, Node.js)
Implement asynchronous processing, event-driven workflows, and API versioning strategies as part of production system
Contribute to cloud-native and microservices-based architectures in real-world environments
Hands-on experience with AI-assisted development tools such as Cursor, Claude Code, and Windsurf
Implement and integrate AI/ML capabilities into applications, including model inference APIs and data-driven workflows
Make informed tradeoffs between real-time and batch processing, latency, throughput, and scalability
Collaborate with Data Science and ML Engineering teams to operationalize AI features in production systems
Build secure applications with strong attention to authentication, authorization, and data protection
Implement identity and access patterns such as OAuth2, RBAC, and session management
Ensure systems include appropriate logging, observability, and auditability aligned with enterprise and regulatory expectations
Contribute directly to CI/CD pipelines and DevOps workflows that support rapid, reliable delivery
Build and deploy containerized applications using tools such as Docker and modern deployment pipelines
Monitor and improve system performance, reliability, and resilience to meet defined service-level objectives (SLOs)
Act as a senior technical contributor who leads by example through high-quality design and code
Provide mentorship and guidance to other engineers through collaboration, reviews, and technical discussion
Influence technical direction and best practices without direct people management responsibility
Serve as a trusted technical partner to stakeholders across engineering, product, and platform teams