Teams at OpenTeams

Build and operate Kubernetes-based AI/ML infrastructure, including GPU scheduling, multi-tenant isolation, platform services, infrastructure as code, GitOps, CI/CD, observability, and reliability practices. Deploy reproducible platforms in cloud, restricted, and disconnected environments. Develop runbooks, support incident response, contribute to open-source infrastructure projects, and collaborate with security engineers and government stakeholders. The role requires production infrastructure experience, cloud expertise, programming skills, and eligibility for a U.S. security clearance.

Build API-first backend services for workflow orchestration, data ingestion, evaluation, and results management, along with analyst-facing web consoles. Implement identity federation, authentication, authorization, relational data models, automated testing, and CI pipelines. Create API documentation, SDK examples, reference implementations, notebooks, and integration resources. Collaborate with security, infrastructure, platform, and ML engineers while supporting external partners and Government users integrating with published interfaces.

Own the end-to-end architecture of a secure AI testing and evaluation platform for Government customers. Define technical roadmaps, interfaces, standards, and design patterns; evaluate open-source and commercial technologies; guide security, interoperability, scalability, and reliability decisions; and support deployment in restricted environments. Advise stakeholders, coordinate multiple engineering disciplines, document technical risks and tradeoffs, support proposals, and mentor engineers and technical leads.