The Clinical Decision Support (CDS) Engineering team, a unit within the Optum Insight Technology organization is responsible for building commercial products helping payers and providers with administrative and clinician focused CDS solutions. We are seeking multiple Lead Software Engineers in multiple aspects of application and platform software development. This role will partner closely with Product Management, Software Engineering, Data Engineering, and ML teams to build AI/ML-driven applications. CDS is an area that truly touches payers, providers, as well as members and one where you can have a huge impact on improving the healthcare system for everyone.
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:Technical Leadership & Hands-On Delivery- Lead technical design for epics/features; break down complex work into implementable increments and ensure delivery meets acceptance criteria and quality bars
- Remain hands-on building software in .NET and/or Python, contributing directly to critical services, pipelines, or UI components
- Influence engineering decisions across a team/domain, setting direction on architecture, patterns, and engineering standards while staying hands-on
- Mentor engineers through code/design reviews, pairing, and guidance on best practices in testing, performance, and operational readiness
- Demonstrate and utilize AI-based tools to improve the software development lifecycle
Engineering Excellence (Quality, Security, Operations)- 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
Team Mentorship and Cross-Functional Collaboration- Mentor and guide engineers; help develop strong engineering habits through coaching, pairing, code review rigor, and design guidance
- Fully participate in Agile ceremonies (standups, refinement, planning, retrospectives) and improve team execution and predictability
- Partner with product, architecture, SRE, security, data/AI teams, and stakeholders to align technical implementation with platform goals
- Communicate tradeoffs clearly and raise risks early, ensuring shared understanding across distributed teams
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:- 10+ years of professional software engineering experience (or equivalent depth of experience delivering production systems)
- 5+ years of development experience with .NET, JavaScript, and/or Python (one may be primary; the others can be working proficiency)
- 4+ years of professional experience in at least one specialty area (pick one):
- Backend/API Engineering
- Data engineering and Analytics
- Front-end/web Engineering
- 3+ years of experience in relational databases (SQL)
- 3+ years of development and operational experience in the public cloud (Azure preferred)
- 2+ years of demonstrated ability to lead technical design and influence engineering decisions across a team/domain
- Comprehensive understanding of software engineering fundamentals: testing, CI/CD, secure coding, performance, and operational readiness
Preferred Qualifications:- Experience in healthcare
- 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
*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
