Espresso AI is a well-funded, early-stage startup focused on using machine learning to automate performance engineering. The Staff Infrastructure Engineer will design and build distributed systems for the optimization engine, driving reliability and performance improvements while collaborating with the engineering team.
Responsibilities:
- Design, build, and scale Espresso’s distributed execution and scheduling systems
- Develop internal compute environments to safely offload workloads from Snowflake and Databricks
- Implement compiler-style analysis and optimization of SQL workloads
- Build infrastructure and data pipelines that support ML modeling and product features
- Improve performance, reliability, and observability across the platform
- Influence architectural decisions and contribute to engineering strategy as an early team member
- Mentor junior engineers as we scale the team, fostering strong engineering fundamentals and high-quality execution