Staff Infrastructure Engineer

Job Overview

Espresso AI’s mission is to use machine learning to automate performance engineering. We help customers reduce Snowflake and Databricks SQL compute costs by up to 70%, unlocking massive efficiency gains without requiring any workflow changes. As a well-funded, early-stage startup scaling quickly, we're seeking a Staff Infrastructure Engineer to design and build the distributed systems that power our optimization engine.

Key Responsibilities

• Design and build 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 as we scale the team

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

About Espresso AI

Espresso AI is a well-funded startup using machine learning to automate performance engineering. Our AI-based approach helps businesses reduce data warehouse costs by up to 70%, providing massive efficiency gains without workflow changes. We're backed by investors including Nat Friedman and Daniel Gross.

Benefits

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