Senior Software Engineer – AI-Native

ZipStaffBlue Bell, PA
Remote

About The Position

ZipStaff is seeking a Senior Software Engineer for an AI-native product team at a leading healthcare analytics organization. You will build production Java / Spring Boot services and use Claude, Copilot, or similar as a daily engineering tool. This is not an ML / model-training role. Candidates who only write prompts or only do data science will not be a fit.

Requirements

  • 5+ years professional backend / enterprise software engineering.
  • Strong Java, Spring Boot, and microservices , including REST APIs and integrations.
  • Production delivery using AI-assisted tools (Claude, Copilot, or similar) in daily work.
  • Strong debugging, code review, and ownership of quality.
  • Relational databases / SQL ( PostgreSQL or Oracle ), data modeling, and performance tuning.
  • Event-driven / distributed systems.
  • CI/CD, DevOps, and containers/cloud ( OpenShift, Kubernetes, AWS ).
  • Exposure to workflow orchestration ( Temporal, Camunda, Flowable, jBPM, or Drools ).
  • BS/MS in CS, IT, Engineering, or equivalent experience.
  • Agile experience (SAFe preferred).
  • Must be legally authorized to work in the United States without sponsorship now or in the future.

Nice To Haves

  • Deeper Temporal.io / decision-automation experience.
  • AI-native development standards and governance for AI-assisted code.
  • Shared platforms, internal developer tools, or automation.
  • Healthcare IT or other regulated environments.

Responsibilities

  • Build and enhance production Java / Spring Boot backend services, APIs, and microservices.
  • Use AI-assisted workflows (Claude, Copilot) for coding, testing, debugging, and documentation.
  • Review and refine AI-generated code for correctness, performance, security, and maintainability.
  • Integrate services with workflow platforms such as Temporal.io or Camunda.
  • Help refine AI-native engineering standards under the Tech Lead
  • Deliver features end-to-end with the AI-Native Tech Lead, data, and adjacent teams.
  • Participate in design discussions and code reviews.
  • Follow secure coding and SDLC standards; support production issues.
  • Contribute to CI/CD, DevSecOps, and cloud-native deploys ( OpenShift/Kubernetes, AWS ).
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