Teams at Horizon Surgical Systems, Inc.

Design, build, and maintain on-premise development infrastructure and CI/CD pipelines (GitHub Actions on self-hosted runners). Manage CMake build systems, containers, servers, networking, and AWS services. Support release management, dependency handling, Linux troubleshooting, GPU configuration, and regulatory traceability for safety-critical surgical software.

Design, build, and maintain scalable data pipelines (Dagster) and cloud ingestion (AWS S3) to support AI model training, validation, and regulatory workflows. Develop Python tooling, write and optimize SQL data models, implement validation/testing/monitoring, support dataset versioning and lineage for IEC 62304/FDA requirements, and collaborate with Data Operations and ML teams to ensure data quality and compliance.

Operate and maintain data pipelines between Polaris and AWS for AI model training. Build and run ETL/ELT workflows in Python/Bash, monitor pipeline health, manage dataset versioning and audit trails, support cross-functional data requests, and produce dashboards on data quality and throughput.