Staff Infrastructure Engineer jobs in United States
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Espresso AI · 4 hours ago

Staff Infrastructure Engineer

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.

Artificial Intelligence (AI)Information TechnologyInternetSoftware

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

Qualification

Systems designPerformance engineeringDebuggingSQL optimizationWorkload orchestrationMentoringCollaborationProblem-solving

Required

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

Preferred

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

Benefits

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

Company

Espresso AI

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Espresso AI uses generative AI to optimize data warehouses. We save customers up to 70% on Snowflake.

Funding

Current Stage
Early Stage
Total Funding
$11M
Key Investors
FirstMark
2024-05-07Seed· $11M
2024-01-01Pre Seed

Leadership Team

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Ben Lerner
Cofounder & CEO
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Alex Kouzemtchenko
CTO & Co-Founder
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Company data provided by crunchbase