cloud · containerized services
ABOUT THE ROLE
Join a small AI/ML product engineering team building infrastructure for user-facing software and AI-powered products. You will own core platform capabilities end to end, helping the team ship reliable services that support demanding workloads and a growing user base.
WHAT YOU'LL DO
- Build and operate cloud infrastructure and containerized services using infrastructure as code.
- Develop durable workflows for long-running product and AI agent tasks.
- Design, scale, and tune production databases, including services built with Postgres, Redis, and ClickHouse.
- Build infrastructure supporting AI agents and machine learning workloads, including long-running jobs, model routing, inference, or GPU orchestration.
- Own infrastructure initiatives from architecture and data modeling through production deployment and ongoing improvement.
- Use user feedback and AI coding tools to move quickly while maintaining a high standard of engineering quality.
WHAT WE'RE LOOKING FOR
- Typically 2 to 10 years of experience in infrastructure, platform, or backend engineering, with a demonstrated progression into senior, lead, or staff-level scope.
- Production experience with infrastructure as code using CDK or Terraform, Docker, and a major cloud provider such as AWS, GCP, or Azure.
- Hands-on experience with Temporal or a comparable durable workflow orchestration system.
- Strong production database experience, including schema design, scaling, and performance tuning.
- Experience operating infrastructure at substantial scale or working with large vol