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Lead Software Engineer - Remote

LinkedIn Optum Eden Prairie, MN
Not Applicable Posted March 26, 2026 2 variants Job link
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Requirements
  • React or Angular
  • TypeScript
  • Python (FastAPI), Node.js or equivalent modern frameworks
  • RESTful APIs, asynchronous and event driven workflows
  • API versioning practices
  • Cloud & Containerization
  • Public cloud (AWS, Azure, or GCP)
  • Docker and container based runtimes
  • Cloud native services and microservices patterns
  • DevOps & CI/CD
  • CI/CD pipelines and automated testing
  • Tools such as GitHub Actions, GitLab CI, or equivalent platforms
  • Experience with AI assisted development tools (e.g., Cursor, Claude Code, Windsurf, or similar)
  • Data & Observability
  • Logging, metrics, and tracing for distributed systems
  • 8+ years of professional software engineering experience, including building and operating complex, multi component distributed systems
  • 4+ years building backend services and APIs using Python (FastAPI), Node.js, or similar modern frameworks
  • 3+ years of experience serving as a technical lead for cross cutting initiatives (multiple services or teams), while remaining actively hands on in design and implementation
  • 3+ years of developing modern front end applications with React or Angular and TypeScript
  • 3+ years of deploying and operating applications in cloud environments (AWS, Azure, or GCP), including containerization with Docker and microservices based patterns
  • Experience using Vibe Coding methods and tools (eg Claude or Codex or GitHub Co-pilot) to support rapid prototyping, code regression testing, and/or other software engineering / integration tasks
  • Experience working in an Agile - Scrum - Kanban familiarity for development process using GitHub integrated with IDE to support development
  • Demonstrated experience defining and enforcing technical standards, reference architectures, and design patterns through reviews and hands on contributions (not just policy)
  • Experience evaluating, prototyping, and integrating emerging technologies, including AI/ML frameworks, agentic systems, and security tooling, and assessing their suitability for production use in regulated environments
  • Solid understanding and skills with DevOps tools to support continuous integration and continuous development (CICD) pipelines for their work
  • Advanced understanding of distributed systems design (failure modes, scaling strategies, data consistency, performance tradeoffs, and operational resilience).
  • Demonstrated expertise in production incident analysis and remediation, acting as a senior technical escalation point and driving systemic fixes
  • Proven ability to translate high level or ambiguous requirements into clear, actionable technical plans, including architecture, sequencing, and tradeoffs across security, compliance, performance, and scalability
Preferred Skills
  • Public cloud (AWS, Azure, or GCP)
  • Docker and container based runtimes
  • Cloud native services and microservices patterns
  • DevOps & CI/CD
  • Tools such as GitHub Actions, GitLab CI, or equivalent platforms
  • Advanced understanding of distributed systems design (failure modes, scaling strategies, data consistency, performance tradeoffs, and operational resilience).
  • Proven ability to translate high level or ambiguous requirements into clear, actionable technical plans, including architecture, sequencing, and tradeoffs across security, compliance, performance, and scalability
  • Proven solid track record mentoring mid level and senior engineers and effectively communicating complex technical concepts, risks, and tradeoffs to cross functional partners (Product, Security, Data, Platform)
  • 2+ years of experience working in healthcare or other highly regulated domains, ideally with exposure to clinical systems, health data platforms, or regulated data workflows
  • Experience integrating AI/ML features into production healthcare applications or payer/provider workflows
  • Practical understanding of security, privacy, and compliance considerations (e.g., HIPAA aligned controls or similar frameworks)
  • Proven to have built systems or software that uses agentic AI, generative AI, and/or AI models (reinforcement learning, federated learning, deep learning, supervised/unsupervised learning)
  • All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Education
  • (Not required) – Undergraduate degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • (Not required) – 8+ years of professional software engineering experience, including building and operating complex, multi component distributed systems