Senior Full Stack Software Engineer

UnitedHealth Group•Minnetonka, MN

5d•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 you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. You will enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.

Requirements

Bachelor's degree in Computer Science or IT or Engineering field
5+ years of experience building full-stack applications with React front ends and Node.js/Java backends
4+ years of experience with HTML CSS and Typescript
3+ years of prior experience mentoring engineers, leading technical initiatives, or owning complex system components end-to-end

Nice To Haves

Experience with feature flags, experimentation platforms, or progressive delivery practices
Experience identifying opportunities where AI can improve developer productivity, system reliability, or end-user experience
Demonstrated experience using AI tools as part of the software development lifecycle (e.g., coding assistants, test generation, refactoring, documentation, or design support)
Exposure to observability tooling (logging, metrics, tracing) and operational excellence practices
Familiarity with cloud-native architectures and containerized deployments (Docker, Kubernetes, or equivalent)
Ability to build, integrate, or consume AI-powered features or services, such as LLM-backed APIs, intelligent automation, or data-driven decision components
Strong understanding of prompt engineering concepts, AI-assisted development workflows, and responsible AI considerations (security, privacy, and bias awareness)
Comfort working in an AI-first engineering culture, where experimentation, iteration, and continuous learning are expected

Responsibilities

Design, develop, test, deploy, and maintain scalable, secure, and high‑quality software solutions supporting core business initiatives such as Prepare for Next Year (PFNY)
Own complex technical components and services, exercising independent judgment in design, implementation, and operational decisions
Implement and evolve future‑state architectures that enable a single, reusable content model across web and mobile platforms, improving consistency, scalability, and maintainability
Develop and maintain full‑stack solutions using React, Node.js, and Java, ensuring alignment with enterprise architecture standards and best practices
Drive technical design and architecture discussions, including API design, data flows, and integration patterns, balancing immediate delivery with long‑term platform health
Build and enhance CI/CD pipelines, automated testing, and deployment processes to support reliable, repeatable releases and strong operational outcomes
Apply AI‑builder practices by leveraging AI‑assisted development tools and techniques to improve developer productivity, code quality, testing, documentation, and solution design
Identify and implement opportunities where AI‑enabled capabilities can enhance system efficiency, operational excellence, or end‑user experience
Partner closely with product, UX, content, and platform teams to translate business requirements into well‑architected technical solutions
Participate in and lead code reviews, design reviews, and technical discussions, raising engineering standards and ensuring adherence to quality, security, and compliance requirements
Support operational excellence, including monitoring, incident response, root‑cause analysis, and continuous improvement of system reliability and performance
Provide senior‑level technical leadership through mentorship, knowledge sharing, and guidance, contributing to the growth and effectiveness of the engineering team
Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement