Espresso AI
Staff Infrastructure Engineer
New York Office · Staff+
Sponsorship not specified$225k-$300kDetected 673 days ago
Distributed SystemsSQLSnowflakeDatabricksMachine LearningData AnalysisData Engineering
About the role
- 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.
- This is a highly technical role with deep systems work at its core.
- Improve performance, reliability, and observability across the platform
Responsibilities
- More and more businesses are adopting data warehouses to manage invaluable data analytics workloads.
- As a Staff Infrastructure Engineer, you will design and build the distributed systems that power Espresso's optimization engine.
- 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
- Strong fundamentals in systems design, performance engineering, and debugging
Requirements
- 7+ years software engineering experience
- Comfort operating across a broad range of infrastructure challenges and tackling whichever problems are most critical to the system
- Experience at small startups
- Experience with software verification
Compensation
- Competitive salary and meaningful equity based on final leveling
Benefits
- 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
- Free salads & gym membership
- Experience with workload orchestration, query execution, scheduling, or runtime systems is a bonus
- Espresso AI's mission is to use machine learning to automate performance engineering.
Company info
- 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.
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This listing is sourced directly from Espresso AI's careers page and normalized into a canonical job model.