Senior Backend Engineer: AI, Data Pipelines, Healthcare

CVS Health; Massachusetts; Hybrid; USD 83,000 - 222,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Retirement savings options

Job summary

CVS Health, in collaboration with Oak Street Health, seeks a Senior Software Engineer to own complex backend workstreams, drive technical decisions, and mentor engineers. You will design robust AI-enabled system prompts, build scalable data pipelines, and ensure reliable, maintainable services in a healthcare context.

The role emphasizes end-to-end ownership, strong collaboration with product and business stakeholders, and adherence to high standards for testing, observability, and production

Qualifications

• 5+ years building distributed backend systems in production.
• Proficiency building system prompts and utilizing AI frameworks.
• Hands-on experience with MongoDB or comparable document stores.
• Track record of leading technical work across a team - not just executing it.
• Experience with cloud-native deployment (Azure, AWS, or GCP).

Responsibilities

• Design robust system prompts using LLM frameworks.
• Partner with product teams and business stakeholders to understand and automate workflows.
• Design and implement robust file-ingestion pipelines using Databricks.
• Own a domain or service area end-to-end, including its data model and integration contracts.
• Lead code reviews, set technical standards, and mentor junior and mid-level engineers.
• Hold the team accountable for test coverage, observability, and the production health of the services you own.

Skills

Distributed backend systems

System prompts / AI frameworks

Team leadership

Cloud deployment (Azure/AWS/GCP)

Education

Bachelor's degree

Tools

Databricks

MongoDB

Job description

CVS Health, in collaboration with Oak Street Health, seeks a Senior Software Engineer to own complex backend workstreams, drive technical decisions, and mentor engineers. You will design robust AI-enabled system prompts, build scalable data pipelines, and ensure reliable, maintainable services in a healthcare context.

The role emphasizes end-to-end ownership, strong collaboration with product and business stakeholders, and adherence to high standards for testing, observability, and production