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Build analytics infrastructure, pipelines, and dashboards to surface metrics from the matching pipeline. Design and implement new metrics and offline analysis tooling to assess product performance and improve algorithm quality, collaborating with engineering and business teams.

Design, build, and own a scalable, HIPAA-compliant data management system that fetches partner data (e.g., EPIC), extracts semantic knowledge, summarizes provider notes, and provides user-facing UI for viewing and updating data to power provider matching, scheduling, and recommendation products.

Own and evolve cloud infrastructure for an AI-driven healthcare platform: design GCP/Terraform infrastructure, manage GKE clusters, improve CI/CD and Bazel builds, implement observability and SLIs/SLOs, harden security for HIPAA/SOC2, and drive reliability and deployment safety across environments.

The role involves building and improving AI voice features, debugging issues, and collaborating with product teams to enhance user experience.

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.

Lead end-to-end product design as the first full-time designer: run user research with clinical staff, prototype quickly (including in-code), craft polished, trustworthy interfaces for AI-assisted care navigation, own brand and marketing assets, and partner with founders, product, and engineering to set vision, roadmap, and iterate rapidly.

Own research-to-prototype pipeline for voice AI and agent orchestration: track emerging techniques, build and evaluate prototypes on real conversation data, run controlled model comparisons, document results, and hand off validated ideas to platform engineers.