Staff Infrastructure Engineer

The role

You will design and build distributed systems that power the optimization engine. You will work on real-time scheduling, workload execution, performance analysis, and internal compute environments.

What you will do

• 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
• Mentor junior engineers

Required qualifications

• 7+ years software engineering experience
• Strong fundamentals in systems design, performance engineering, and debugging
• Ability to own complex technical projects end-to-end
• Comfort operating across a broad range of infrastructure challenges

Nice to have

• Experience at small startups
• Background in data warehouse cost optimization
• Experience with workload orchestration, query execution, scheduling, or runtime systems
• Exposure to SQL optimization
• Experience with software verification

Benefits

• Competitive salary and meaningful equity
• Employee-friendly equity terms (early exercise)
• Health, dental, and vision insurance
• 401k with 4% match
• Free salads & gym membership

About the company

Espresso AI uses machine learning to automate performance engineering. It is a well-funded, early-stage startup.