Staff Infrastructure Engineer
Espresso AI2 years ago
Base Salary
$210k - $300k/yr
Responsibilities
- Design, build, and scale 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 supporting ML modeling and product features
- Improve platform performance, reliability, and observability
- Influence architectural decisions and contribute to engineering strategy
- Mentor junior engineers and promote strong engineering fundamentals and high-quality execution
Requirements
- 7+ years of software engineering experience
- Strong fundamentals in systems design, performance engineering, and debugging
- Ability to own complex technical projects end-to-end
- Comfort working across a broad range of infrastructure challenges and prioritizing the problems most critical to the system
- Experience at small startups is a plus
- Background in data warehouse cost optimization is a plus
- Experience with workload orchestration, query execution, scheduling, or runtime systems is a plus
- Exposure to SQL optimization is a plus
- Experience with software verification is a plus
Benefits
- Employee-friendly equity terms with early exercise
- Health, dental, and vision insurance
- 401(k) with 4% match
- Free salads and gym membership
About Espresso AI
Espresso AI builds software that uses machine learning to automatically optimize data warehouse workloads, reducing SQL compute spend without changing users’ workflows. The product targets teams running analytics on Snowflake and Databricks, optimizing queries and execution to lower costs and improve performance. Founded in 2023 and privately held, the company is headquartered in New York, serving businesses that manage large-scale analytics in the cloud.