The role involves designing, deploying, and maintaining a workflow orchestration platform to automate Medicare claims. The engineer will manage the server topology on Google Kubernetes Engine and develop a configuration interpreter that executes versioned JSON or YAML files. Responsibilities include creating activity libraries, defining platform guardrails, and establishing observability standards for high-throughput processing. The position requires setting standards for handling sensitive health information under regulatory governance. Additionally, the role involves mentoring team members and collaborating across various engineering departments to ensure operational excellence.

The role requires multiple years of experience in distributed systems, platform engineering, or backend infrastructure engineering. Candidates must possess deep expertise in Python, including async programming and determinism, alongside hands-on production experience with durable workflow orchestration engines like Temporal.io. Proficiency in Google Cloud Platform, PostgreSQL at scale, and Infrastructure as Code tools such as Terraform and Helm is necessary. Furthermore, the position requires experience in regulated industries, specifically regarding HIPAA and PHI handling, as well as a background in migrating workloads from RPA platforms.