Senior Software Engineering Lead
Optum/UHG · Noida, Uttar Pradesh, India · US
Software Engineering
–
Pharmacist
Demand86
Career growth84
Healthcare fit24
Remote potential65
5-year outlook
Senior/lead software engineering roles at large healthcare payers typically sit in the upper tier of healthcare-sector compensation, well above average clinical salaries, with continued upward pressure from AI platform demand. Exact figures vary by location, level, and equity component and are not stated in this posting.
Clinical license
Not required
Applicant reach
narrow
Seniority
lead
Employment type
–
Date found
2026-10-02
Intelligence details
Flexible work details
- Side income
- Classified as side-income friendly
- Engagement type
- Contract
- Hours
- Variable hours
- Eligible countries
- United States
- Profession fit
- Pharmacist
Why this was classified this way
- contract
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth considering only if you are a clinician who already works as a professional software engineer with 4+ years of hands-on coding and cloud/AI platform experience. For the typical clinician without an engineering track record, the experience barrier makes this an unrealistic target.
Who should apply
Physician-engineers or clinician-coders with 4+ years of production software engineering experience; informatics-trained clinicians with strong Python/Go and Kubernetes/AWS/Azure backgrounds; healthcare graduates with CS degrees and AI/LLM platform experience who want payer-side health tech roles.
CV angle
Lead with engineering outcomes, not clinical titles: quantify production systems built, services scaled, automation delivered, and AI/LLM or RAG pipelines shipped. Then layer in genuine healthcare domain exposure — familiarity with healthcare data transactions, clinical workflows, or EHR/claims data — as a differentiator that most pure engineers lack. Do not reframe clinical duties as engineering experience; instead position clinical insight as context that improves requirements, security, and stakeholder communication.
Skills to highlight
- Python or Go production software development
- Kubernetes / container orchestration
- AWS or Azure cloud architecture
- LLM, RAG pipeline, and AI workflow implementation
- Agile delivery and DevOps / CI-CD automation
- Platform engineering and reusable service design
- Healthcare data types and information systems familiarity
- Cross-team technical stakeholder communication and documentation
Role summary
A senior hands-on engineering lead at Optum/UnitedHealth Group responsible for building, operating, and scaling a production AI platform and intelligent automation capabilities, designing reusable services and tooling, and advancing the team's agile, DevOps, and AI engineering practices. Requires 4+ years of professional software development plus cloud, Kubernetes, and LLM/RAG experience; healthcare domain knowledge is preferred but not required.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.