Senior Manager, Software Engineering

UnitedHealth Group•Eden Prairie, MN

2d•Remote

About The Position

Optum Insight Technology is seeking a Sr. Manager of Software Engineering for the Clinical Decision Support (CDS) Engineering team. This team builds commercial products that assist payers and providers with administrative and clinician-focused CDS solutions. The role involves partnering with Product Management, Software Engineering, Data Engineering, and ML teams to develop AI/ML-driven applications. CDS is a critical area impacting payers, providers, and members, offering an opportunity to significantly improve the healthcare system. The position offers the flexibility to telecommute from anywhere within the U.S.

Requirements

Bachelor's Degree
8+ years of professional software engineering experience (or equivalent depth of experience delivering production systems)
3+ years of development experience with .NET, JavaScript, and/or Python (one may be primary; the others can be working proficiency)
3+ years of development and operational experience in the public cloud. Azure preferred
2+ years of experience as a technical lead and/or people manager (e.g., leading a squad/team, owning delivery, coaching engineers)
2+ years of experience in relational databases (SQL)

Nice To Haves

Experience in healthcare
A grasp of software engineering fundamentals: testing, CI/CD, secure coding, performance, and operational readiness
Demonstrated ability to set technical direction, lead delivery, and influence engineering decisions across a team/domain
Expert understanding of engineering fundamentals: unit testing, code reviews, telemetry, agile and DevOps
Hands-on experience leveraging Large Language Models (LLMs)
Experience with microservices and event-driven architecture (APIs, messaging) supporting high-availability systems
Experience designing secure, compliant systems in regulated environments; demonstrated security-minded engineering
Data/AI platform experience (e.g., building or operating analytics/ML pipelines and/or data products that enable monitoring and trustworthy delivery of insights)
Infrastructure as Code and cloud automation (e.g., Terraform) for repeatable environments

Responsibilities

Manage and develop engineers through coaching, regular 1:1s, goal setting, performance feedback, and career growth planning
Own delivery outcomes for the team: establish clear plans, scope and sequence work, manage dependencies, and ensure commitments are met with predictable execution
Drive work management practices: define roles and on call/ownership models, balance capacity across priorities, and remove delivery blockers
Provide technical direction and ensure high-quality design and implementation via architecture alignment, design reviews, and engineering standards
Remain close to the code with approximately 30%25 hands-on contribution (e.g., critical paths, prototypes, design/code reviews), and champion the use of AI-based tools to improve engineering productivity and quality
Champion secure engineering and proactively identify/close security gaps in solution design and delivery
Build and operate production-grade services and pipelines with strong reliability practices (observability, diagnostics, incident response readiness)
Drive CI/CD and automated testing practices to improve delivery velocity without sacrificing safety and compliance
Set clear expectations and team norms; create a culture of accountability, psychological safety, learning, and continuous improvement
Lead Agile planning and execution (refinement, planning, retrospectives) to improve throughput, predictability, and alignment to outcomes
Partner with product, architecture, SRE, security, data/AI teams, and stakeholders to translate strategy into executable roadmaps and measurable delivery
Communicate status, tradeoffs, and risks clearly; escalate early when needed, and drive alignment across distributed teams and leadership