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Own security and compliance across Sage Care’s healthcare platform, applications, identity, cloud infrastructure, SaaS tools, and AI agents. Responsibilities include SOC 2 and HIPAA compliance, customer security reviews, application security, IAM, GCP and Kubernetes security, Terraform, PHI governance, detection and incident response, and AI threat modeling. The role requires hands-on security engineering, infrastructure expertise, regulatory compliance experience, and communication with engineers, auditors, and healthcare customer security teams.

Own technical relationships with 3–5 healthcare partners, integrating Sage Care with EHRs and phone systems, configuring AI agents, supporting go-lives, troubleshooting production issues, monitoring performance, and turning partner-specific work into repeatable tooling and processes. The role requires strong coding and SQL skills, cross-functional communication, healthcare systems experience or interest, and travel to partner sites up to 50%.

Build production AI agent systems for healthcare workflows such as scheduling and medication refills. Develop orchestration, tool-use, conversation-state, recovery, evaluation, and ML pipelines. Analyze production conversations, identify failures, create evaluation datasets, measure agent quality, and improve reliability across models and prompts. Partner with research to productionize techniques while balancing quality, latency, and cost.

Build and scale the real-time backend platform powering AI voice agents. Responsibilities include designing session state and workflow runtimes, model orchestration, concurrency and reliability systems, Rust migration, performance troubleshooting, service boundary design, load testing, observability, and production readiness across healthcare partners.

The DevOps Engineer will architect and maintain cloud infrastructure, CI/CD pipelines, and Kubernetes systems, ensuring performance, security, and scalability for Sage Care's AI healthcare platform.