Sr Mgr, Software Engineering - Remote

UnitedHealth Group•Eden Prairie, MN

3d•$112,700 - $193,200•Remote

About The Position

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. As a Senior Manager of Software Engineering within the Medicare & Retirement organization, you will lead and empower high-performing software engineering teams responsible for driving critical system transformations and modernizing large-scale medical transaction batch processing systems. In this role, you will champion the strategic adoption of enterprise AI technologies and AI-driven Development LifeCycles (AI DLC) to accelerate software migration, optimize system performance, and solve complex architectural challenges. Partnering closely with product management, enterprise architecture, and business leaders, you will define delivery roadmaps, foster a culture of engineering excellence, and uphold the highest standards for security, operational reliability, and responsible. 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

Bachelor's degree or 4+ years of equivalent software development experience
8+ years of software engineering experience leading the design, build, and deployment of enterprise-scale applications or data platforms
3+ years of technical leadership experience with direct people management, team building, and operational oversight across multiple engineering teams
3+ years of experience leading legacy platform modernization, data migration, or system transformation initiatives
3+ years of experience with cloud architectures (e.g., AWS, Azure, GCP), microservices, and high-volume batch processing systems
3+ years of experience operating within Agile software development frameworks and DevOps/CI/CD pipelines
2+ years of experience driving the adoption of AI technologies, machine learning solutions, or AI-assisted development practices within engineering teams
Demonstrated experience utilizing AI-driven Development LifeCycles (AI DLC) to accelerate software migration, code refactoring, and automated testing
Proven track record of managing multi-functional technical initiatives and communicating effectively with executive stakeholders
Demonstrated deep understanding of responsible AI frameworks, data governance, and healthcare security compliance standards (e.g., HIPAA)

Nice To Haves

Master's degree in Computer Science, Information Technology, or a related field
Experience with healthcare claims processing systems, medical transaction processing, or health plan administration platforms
Hands-on experience implementing enterprise LLM-based development assistants, automated code conversion tools, or AI agent workflows
Industry-recognized cloud or technical leadership certifications (e.g., AWS Certified Solutions Architect, SAFe/Agile Certification)

Responsibilities

Lead and direct several software engineering teams within the Medicare & Retirement organization, building a high-performing culture of technical excellence and continuous innovation
Strategically use AI technologies and AI-driven Development LifeCycles (AI DLC) to accelerate system migration, solve complex architectural challenges, and deliver tangible business value
Champion AI as a core driver of team success, proactively shaping how AI tools, automation, and modern methodologies are developed, deployed, and utilized
Integrate enterprise AI tools into daily engineering operations, set AI-focused goals in team development plans, align hiring with AI competencies, and actively remove adoption barriers
Champion the ethical use of AI by embedding transparency, fairness, privacy, and accountability throughout the software development lifecycle
Partner with product management, enterprise architecture, and business leaders to define migration roadmaps, technical milestones, and platform delivery plans
Oversee code quality, CI/CD automation, system security, performance, and operational reliability across large-scale medical transaction batch processing systems
Mentor, coach, and empower engineering leads and software engineers across teams to foster continuous professional growth and technical mastery