Senior Software Engineer

Improve the lives of others while Caring. Connecting. Growing together.

Job Description - Senior Software Engineer (2398886)

Senior Software Engineer - 2398886

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, and data 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.

As a Senior Software Engineer
, you will provide technical leadership for ECDH development supporting URQP, a critical clinical quality initiative. You will lead and mentor a team of software developers building scalable solutions that process and deliver complex clinical data at enterprise scale.

This hands-on role combines software design and development with technical leadership and mentoring. You will design and build solutions while guiding software developers, adapting quickly in a fast-paced and fluid environment, and using generative and agentic AI to accelerate development, testing, automation, and operational support. You will partner with product, architecture, engineering, and business stakeholders to solve complex technical challenges and deliver reliable, high-quality solutions.

You will enjoy the flexibility to telecommute
* from anywhere within the U.S. as you take on some tough challenges.

• Lead the design, development, deployment, and production support of scalable ECDH solutions supporting the URQP clinical quality initiative
• Lead and mentor a team of software developers, providing technical direction and fostering engineering excellence, accountability, and continuous improvement
• Provide expert-level hands-on development, including solution design, rapid prototyping, and proof-of-concept (POC) development to validate technical approaches and accelerate delivery
• Design and build data-intensive applications and services that process complex clinical and quality data at enterprise scale
• Apply generative and agentic AI to accelerate software development, testing, troubleshooting, automation, and operational workflows
• Remain hands-on across architecture, development, performance optimization, testing, deployment, and production support
• Establish and promote engineering practices for scalability, reliability, observability, automated testing, and CI/CD
• Partner with product owners, architects, engineers, and business stakeholders to translate evolving requirements into pragmatic technical solutions
• Lead technical problem solving, identify risks and dependencies, and maintain delivery momentum in a fast-paced, fluid environment
• Communicate technical decisions, delivery status, risks, and tradeoffs clearly to technical and non-technical audiences
• Evaluate emerging AI and software engineering technologies to improve ECDH development, delivery, and operations

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

• 6+ years of software development experience
• 3+ years of hands-on experience building, deploying, and maintaining applications in Azure, GCP or AWS
• 3+ years of experience in Python and Java
• 3+ years of experience with SQL/No
  
  SQL databases
• 2+ years of experience with RESTful API development (FastAPI) and microservices architecture
• 1+ years of experience with containerization (Docker), Kubernetes orchestration
• 1+ experience utilizing AI development lifecycle (DLC) tools to optimize coding efficiency, test automation, and software delivery

• Bachelor's degree or higher in Computer Science, Software Engineering, or related technical field
• Hands-on experience in AI/ML engineering or related technical field
• Familiarity with ethical AI governance frameworks and privacy-enhancing technologies
• 2+ years of hands-on experience with AI agents or multi-agent systems (e.g., LLMs, prompt engineering, Google ADK, MCP, or agentic AI frameworks)
• Demonstrated experience implementing testing patterns, automated testing frameworks, and continuous…