Senior FullStack Engineer
Optum/UHG · Bangalore, Karnataka, India · US
Software Engineering
–
Pharmacist
Demand85
Career growth78
Healthcare fit30
Remote potential60
5-year outlook
Senior software engineering compensation at a large healthcare payer is likely to remain competitive and above most non-bedside clinical roles, but it requires a sustained software engineering track. Clinicians without real engineering experience should not expect this as a lateral entry point.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
–
Date found
2026-10-27
Intelligence details
Flexible work details
- Eligible countries
- United States
- Profession fit
- Pharmacist
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 has substantial software engineering experience, especially Python, GenAI, cloud, and data engineering. Most clinicians exploring non-clinical careers should treat this as too technical for a first transition role.
Who should apply
Clinicians with a computer science or engineering degree and 5+ years of hands-on Python/software development, especially those with healthcare data, payer, GenAI, or DevOps experience.
CV angle
Lead with verifiable software engineering employment and projects, not clinical duties. Frame any healthcare background as domain context that helps you understand payer/care workflows, while quantifying Python, SQL, cloud, CI/CD, GenAI/LLM, API, and deployment work. Do not imply clinical experience is equivalent to software engineering experience.
Skills to highlight
- Python
- Pandas
- GenAI/LLM solution implementation
- DevOps and CI/CD
- Docker/Kubernetes
- SQL and database management
- API design and third-party integration
- Cloud platforms such as AWS/Azure/GCP
Role summary
Senior software engineering role at Optum/UHG focused on building Python-based, GenAI/LLM-enabled healthcare software and integrating data systems, APIs, and DevOps workflows. Despite the FullStack title, the posting emphasizes backend/data, GenAI, SQL, and deployment skills.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.