Lead Software Engineer - Remote or Hybrid in MN and DC

UnitedHealth Group•Boston, MA

1d•$112,700 - $193,200•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 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’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Requirements

12+ years of experience in software engineering with strong hands-on development experience
5+ years of hands-on experience with cloud platforms (AWS / Azure / GCP) and cloud-native development
5+ years of Full Stack development with Angular or React
5+ years of experience with SQL / NoSQL databases and performance optimization
5+ years of experience with CI/CD pipelines, DevOps practices, and modern engineering tools
Demonstrated experience in troubleshooting production issues and application support
Demonstrated experience driving improvements in system design, performance, and reliability
Demonstrated experience balancing development, production support, and continuous improvement initiatives
Demonstrated understanding of distributed systems, REST APIs, and system design
Demonstrated expertise in Java, Spring Boot, and Microservices architecture
Demonstrated encourage adoption of AI-driven engineering practices within the team

Nice To Haves

Undergraduate degree or equivalent experience
Experience in Healthcare domain (payer/provider)
Experience with large-scale product development and customer-facing applications
Proven solid hands-on technical ownership with ability to lead by example
Proven guide and support team members on complex technical challenges
Basic understanding of AI/ML concepts such as model usage, APIs, prompt-based systems, or GenAI integrations
Proven exposure to containerization and orchestration tools (Docker, Kubernetes)
Proven solid problem-solving and debugging skills

Responsibilities

Design, develop, and maintain scalable, high-performance full stack applications using Java and modern frameworks
Provide hands-on coding and actively contribute to critical components and complex features
Analyze and debug production issues, perform root cause analysis, and drive timely resolution
Support production systems, ensure application stability, and improve reliability and performance
Understand existing applications and propose improvements for scalability, maintainability, and performance
Drive system design and architecture discussions; ensure adherence to design principles and best practices
Guide team members on technical issues, troubleshooting, and implementation approaches
Perform code reviews and ensure adherence to coding standards, testing practices, and quality guidelines
Collaborate with cross-functional teams including product, QA, DevOps, and architecture
Contribute to continuous improvement through adoption of DevOps, CI/CD, and automation practices
Leverage AI-assisted development tools (e.g., code generation, test automation) to improve engineering productivity
Understand and integrate AI/ML capabilities (APIs/models) into applications where applicable
Evaluate opportunities to use AI for automation, monitoring, and intelligent decisioning within the platform