Westfield Health

Senior Python Engineer – GenAI Platform

Westfield Health

full-time

Posted on:

Location Type: Hybrid

Location: Westfield Center • Ohio • United States

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Job Level

Senior

Tech Stack

AzureFlaskKubernetesMicroservicesOpenShiftPython

About the role

  • Build Python services & SDKs that expose LLM/agent capabilities to internal teams; operate them on Kubernetes/OpenShift.
  • Support agent runtimes & workflows by implementing and managing operational workflows around AI technologies (e.g. LangGraph, OpenAI Agent SDK, MCP, others).
  • Develop a cohesive enterprise platform for GenAI use cases that run the gamut from core insurance workflows to back office assistants.
  • Own platform reliability, scalability, performance, and cost.
  • Observability: add tracing/metrics/logging via our enterprise tools and monitoring infrastructure to create actionable dashboards/alerts.
  • Security & governance: keep linters and code scan reports clean; enforce RBAC, audit trails, data-access policies, PII controls, and prompt-injection defenses.
  • CI/CD at scale: help own Azure DevOps YAML pipelines (pipeline-as-code) to enable deploy on demand; use feature flags and other techniques for release on demand.
  • Testing culture: drive a culture of fast unit tests, contract tests, and performance tests; keep coverage meaningful and PR checks green.
  • Dependency & packaging hygiene: manage Python envs and builds with uv and containerization.
  • Docs & enablement: produce runbooks, reference implementations, and developer guides; mentor teams on how to use the platform.

Requirements

  • 4+ years of software engineering experience, including building backend services in Python (e.g. FastAPI, Flask), with strong API design and production operations experience.
  • Demonstrated understanding of common software patterns and when to apply them.
  • Demonstrated experience running microservices and/or containerized deployments in production.
  • Hands-on experience with production logging, metrics, and tracing.
  • Experience satisfying automated code quality checks (e.g. SonarQube, Snyk).
  • Solid understanding of Git workflows, code reviews, feature flags, and trunk-based development practices that enable deploy on demand / release on demand.
  • Comfortable with platform governance concepts like audit logging, RBAC, data privacy boundaries, and change control in business-critical environments.
  • Comfort with AI Coding Assistants like GitHub Copilot or Claude Code in day-to-day work.
  • Strong testing discipline (e.g. pyunit/unittest, pytest), mocking, and CI gating.
Benefits
  • Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonFastAPIFlaskAPI designmicroservicescontainerizationunit testingcontract testingperformance testingCI/CD
Soft Skills
mentoringcommunicationproblem-solvingcollaborationleadership