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Senior Software Engineer; Analytics Compute Platform team at Amplitude · LumiJobs

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Amplitude· Posted 2026-07-15

Senior Software Engineer; Analytics Compute Platform team

San Francisco full timeOn Site

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senior

$167k–$230k

H1B: yes

Amplitude Senior Software Engineer on the Analytics Compute Platform team responsible for designing and building core parts of the query/compute engine powering Amplitude's product suite. The role involves evolving the compute API, improving performance and scalability, and partnering with multiple product teams.

Responsibilities

Every chart, insight, and experiment result a customer sees in Amplitude passes through the compute layer that this team owns. Our team sits between Amplitude's front-end analytics products/ rest APIs/ MCPs and Nova, our proprietary analytics database, and owns the compute API that translates a user's question into a fast, correct answer.
Our mandate: enable a highly performant, reliable, and flexible way to compute insights. Those three goals are often in tension the more flexible we make the system, the harder it is to keep it fast and simple, and a lot of the interesting engineering work on this team lives in that tradeoff.
As a Senior Software Engineer, you will
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
You'll be a great addition to the team if you have
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

Qualification

Experience with SQLTrack record of owning ambiguousExperience designing semantic layersExample projects you might work on

Required

Strong backend or distributed-systems engineering experience
Experience with SQL, query planning/execution, or building APIs
Comfort reasoning about tradeoffs between flexibility, performance, and ease of use
Track record of owning ambiguous, cross-team projects end-to-end

Preferred

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
Example projects you might work on
New compute schema and parallelization — redesigning how queries are represented internally to unlock faster, more parallelizable execution.
Deeper session-based analysis — extending our session-analysis capabilities with new filters and formula support.
Smarter result caching — improving both the actual and perceived speed of the query engine.