Software Engineer

UnitedHealth Group•Raleigh, NC

3d•$72,800 - $130,000•Hybrid

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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. If you live near Raleigh, NC, you will enjoy the flexibility of a hybrid-remote role as you take on some tough challenges.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
5+ years of experience in software engineering with a focus on distributed systems and microservices
4+ years of experience with AI-assisted development tools such as GitHub Copilot, Codex, Claude (or similar) to accelerate coding, testing, and debugging workflows
2+ years of experience in healthcare domain, specifically Provider Data / MDM systems
2+ years of experience with AI builders / AI-driven platforms to enhance engineering productivity, and automation
2+ years of hands-on experience with: Spring Boot / Java-based microservices, Kafka / event streaming platforms
2+ years of hands-on experience with: AWS cloud services (EKS, S3, Lambda, etc.)
2+ years of hands-on experience with: MongoDB (NoSQL) and OpenSearch/Elasticsearch
2+ years of hands-on experience with: Docker and Kubernetes (container orchestration)
1+ years of experience with FHIR or healthcare interoperability standards
All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy.

Responsibilities

Design and build cloud-native micro services using Spring Boot, deployed on AWS EKS (Kubernetes) with full containerization (Docker)
Develop and optimize event-driven architectures leveraging Kafka/MSK for high-throughput, low-latency data processing
Implement scalable data solutions using MongoDB and OpenSearch, ensuring efficient indexing, querying, and retrieval of large healthcare datasets
Lead MDM (Master Data Management) and provider data integration initiatives, ensuring accurate identity entities
Drive end-to-end system performance optimization, including database tuning, API efficiency, and distributed transaction handling
Build and maintain robust integration and automated testing frameworks across microservices (API, event, and contract testing)
Collaborate with cross-functional teams to define and implement best-practice API standards, DevOps pipelines, and CI/CD automation
Support production stability through observability, monitoring, and proactive issue resolution in distributed systems