About the role
What we're looking for:
We need an experienced infrastructure engineer with 7+ years of experience who has led infrastructure projects and is comfortable building and scaling cloud systems (AWS preferred) in a fast-paced startup environment. You should have strong CS fundamentals, Python proficiency, and a track record of owning critical infrastructure end-to-end. Bonus points if you have familiarity with ML workflows or MLOps.
What you'll do:
- Own and scale the cloud infrastructure (AWS) that powers custom AI model training and inference for enterprise customers
- Design and maintain reliable deployment processes, CI/CD pipelines, and infrastructure-as-code for getting models and services into production
- Manage GPU allocation, instance sizing, and cost optimization across cloud resources
- Build monitoring, logging, and automated testing infrastructure that gives the team visibility into what's running, failing, and why
- Own data and ML ops including ETL pipelines from varied customer data sources, model versioning, and lifecycle management
- Drive security engineering including data isolation between customers, infrastructure hardening, and SOC2 compliance
- Mentor and partner with the existing infrastructure engineer to raise the bar for the team
