Senior Backend Engineer - AI-Driven Health Platforms

CVS Health

Utah

Hybrid

USD 83,000 - 222,000

Full time

4 days ago
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Benefits offered by this job

Medical, dental, vision coverage
Paid time off
Retirement savings options
Wellness programs
Bonus/incentives

Job summary

Oak Street Health, part of CVS Health, is seeking a Senior Software Engineer to own complex backend workstreams in a healthcare context, focusing on reliability, scalability, and maintainability. You will design prompts, build data pipelines with Databricks, mentor engineers, and collaborate with product teams to deliver scalable solutions that improve patient care and operational efficiency.

We value 5+ years of distributed systems experience, cloud deployment familiarity, and knowledge of

Qualifications

  • 5+ years building distributed backend systems in production.
  • Proficiency in system prompts and AI frameworks.
  • Hands-on experience with MongoDB or comparable document stores.
  • Track record leading technical work across a team.
  • Experience with cloud-native deployment (Azure, AWS, or GCP).

Responsibilities

  • Design robust system prompts using LLM frameworks.
  • Partner with product teams to automate workflows.
  • Design and implement robust file-ingestion pipelines using Databricks.
  • Own a domain or service end-to-end, including data model and integration contracts.
  • Lead code reviews, set technical standards, and mentor engineers.
  • Ensure test coverage, observability, and production health of services.

Skills

Distributed backend
AI prompts
MongoDB
Technical leadership
Cloud platforms

Education

Bachelor's degree

Job description

Oak Street Health, part of CVS Health, is seeking a Senior Software Engineer to own complex backend workstreams in a healthcare context, focusing on reliability, scalability, and maintainability. You will design prompts, build data pipelines with Databricks, mentor engineers, and collaborate with product teams to deliver scalable solutions that improve patient care and operational efficiency.

We value 5+ years of distributed systems experience, cloud deployment familiarity, and knowledge of

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