Senior Software Engineer; Analytics Infrastructure New San Francisco, CA

About the role

The Senior Software Engineer will design and build core parts of the query/compute engine that powers analysis across Amplitude's product suite. They will also evolve the compute API and semantic layer, improve the performance, reliability, and scalability of query planning and execution, and partner with teams across Session Replay, Experiment, CDP, Query, and frontend to understand their needs and shape the compute layer around them. They will take ownership of projects end-to-end, from design through rollout.

Responsibilities

• Design and build core parts of the query/compute engine that powers analysis across Amplitude's product suite
• Evolve the compute API and semantic layer that other engineering teams build features on top of, so that it can support a more generic table
• Help unify and evolve our core data model, including how non-event data (profile properties, lookup tables, etc.) is represented alongside event data
• Improve the performance, reliability, and scalability of query planning and execution on the Amplitude query engine
• Partner with teams across Session Replay, Experiment, CDP, Query, and frontend to understand their needs and shape the compute layer around them
• Take ownership of projects end-to-end, from design through rollout

Requirements

• Strong backend or distributed-systems engineering experience, ideally touching OLAP databases, query engines, or data infrastructure
• Experience with SQL, query planning/execution, or building APIs that many other engineering teams depend on
• Comfort reasoning about tradeoffs between flexibility, performance, and ease of use and making deliberate calls between them
• A track record of owning ambiguous, cross-team projects end-to-end rather than just executing well-scoped tickets
• Strong cross-functional collaboration skills; this team's work only matters in the context of the products built on top of it

Qualifications

• Experience with large-scale event or time-series data systems
• Experience designing semantic layers, ORMs, or other data-modeling abstractions
• Familiarity with columnar databases or OLAP query engines
• Experience integrating a data platform with external tools or AI/agent workflows

Skills

• Strong backend or distributed-systems engineering experience
• Experience with SQL, query planning/execution, or building APIs that many other engineering teams depend on
• Comfort reasoning about tradeoffs between flexibility, performance, and ease of use
• Track record of owning ambiguous, cross-team projects end-to-end
• Strong cross-functional collaboration skills

Benefits

• Excellent medical, dental, and vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans
• Flexible time off, paid holidays, and more
• Generous stipends to spend on what matters most to you, whether that’s wellness, commuter transit/parking, learning and development, home office equipment, and much more
• Parental benefits including 12-20 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support
• Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy Sessions and high quality physician office experience via One Medical membership (select U.S. locations only)
• Employee Stock Purchase Program (ESPP)

Pay

• California salary range: $167,000 - $230,000 base salary (inclusive of bonus or commission)

Schedule

• Full-time