Staff Infrastructure Engineer
- Pay
- $225,000 – $300,000 per year
- Location
- New York, NY · On-site
- Job type
- Full-time
- Level
- Senior
- Experience
- 7+ years
- Listed
- 23 days ago
Skills & highlights for this role
- distributed systems
- performance engineering
- query execution
- SQL optimization
- systems design
Also useful
- workload orchestration
- data warehouse cost optimization
- software verification
Stated benefits & perks
- Health
- Dental
- Vision
- 401k match
- Gym
About the Role
As a Staff Infrastructure Engineer, you will design and build the distributed systems that power Espresso’s optimization engine. You will work across real-time scheduling, workload execution, performance analysis, and the internal compute environments that allow us to safely and efficiently offload warehouse workloads.
You will own major architectural components, drive reliability and performance improvements, and collaborate closely with founders and engineering on long-term technical direction. This is a highly technical role with deep systems work at its core.
What You’ll Work on
- 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
What You Bring
- 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 and tackling whichever problems are most critical to the system
Nice to Haves
- Experience at small startups
- Background in data warehouse cost optimization
- Experience with workload orchestration, query execution, scheduling, or runtime systems is a bonus
- Exposure to SQL optimization
- Experience with software verification
What We Offer
- Competitive salary and meaningful equity based on final leveling
- $225,000 - $300,000 Base Pay + Equity
- Employee-friendly equity terms (early exercise)
- Health, dental, and vision insurance
- 401k with 4% match
- Free salads & gym membership
About Espresso AI
Espresso AI’s mission is to use machine learning to automate performance engineering. Today, we help our customers reduce Snowflake and Databricks SQL compute costs by up to 70%, unlocking massive efficiency gains without requiring any workflow changes.
More and more businesses are adopting data warehouses to manage invaluable data analytics workloads. Unfortunately, the costs of these workloads often grow exponentially over time, with no easy way for users to reduce cost - until now. Our next-generation, AI-based approach saves our users huge amounts of money.
We’re a well-funded, early-stage startup scaling quickly. Our most recent round was led by Nat Friedman and Daniel Gross.
From Espresso AI's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Staff Infrastructure Engineer role at Espresso AI?
The Staff Infrastructure Engineer posting at Espresso AI states compensation of $225,000 – $300,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Espresso AI's official career site.
Where is the Staff Infrastructure Engineer job at Espresso AI located?
This Staff Infrastructure Engineer position at Espresso AI is located in New York, NY (On-site). Always check Espresso AI's application page for specific state eligibility or relocation policies.
What qualifications are required for Staff Infrastructure Engineer at Espresso AI?
For the Staff Infrastructure Engineer role, Espresso AI highlights 7+ years of relevant experience; experience with distributed systems, performance engineering, query execution, SQL optimization, systems design. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Staff Infrastructure Engineer position at Espresso AI?
This listing links directly to Espresso AI's Ashby application page. You can apply directly on Espresso AI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.