Sr Software Engineer-Remote (Except Hybrid In MN)

UnitedHealth Group•Minnetonka, MN

2d•$91,700 - $163,700•Remote

About The Position

As a Senior Software Engineer within Optum Technology, you will drive the integration of traditional engineering practices and AI readiness standards across product teams. In this role, you will help build secure, resilient applications while empowering engineers to leverage modern development tools and minimize rework. Serving as a technical subject matter expert, you will collaborate with cross-functional teams to embed security seamlessly into the development lifecycle, establish software standards, and guide engineers in solving complex healthcare technology challenges. 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.

Requirements

3+ years of professional software engineering experience across the full Software Development Life Cycle (SDLC)
2+ years of hands-on experience building and maintaining CI/CD pipelines using GitHub Actions
1+ years of experience and the ability to guide, coach, and influence engineering teams on security and software engineering best practices

Nice To Haves

Demonstrated experience with object-oriented programming (OOP) principles and software dependency management
Experience with building custom reporting visualizations in a front-end web application.
Experience with AI-assisted software development tools and technologies (e.g., GitHub Copilot, Claude Code, or Codex)
Experience developing and scaling engineering standards across multiple product teams
Excellent problem-solving skills with a focus on identifying and mitigating security and stability risks
Bachelor’s degree in Computer Science, Information Technology, or a related field

Responsibilities

Assess and interpret customer and technical requirements to identify solutions for non-standard requests and complex engineering challenges
Develop, implement, and maintain AI readiness standards, tools, and best practices for product software engineering teams, including a standalone webapp with robust reporting capabilities
Act as a subject matter expert on making code repositories AI-ready and provide guidance to teams on mitigating potential risks
Educate and empower engineers to focus on solving unique business problems by reducing time spent on general software issues and rework
Provide coaching, feedback, and technical guidance to team members with less experience
Stay updated with developments in software development and engineering best practices to ensure team practices remain current and effective
Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI