Software Engineer II, Analytics Compute Platform Team

Amplitude•San Francisco, CA

4d•$95,000 - $131,000•Hybrid

About The Position

Amplitude is hiring a Software Engineer II for its Analytics Compute Platform Team. The team owns the compute layer and API that connect Amplitude product experiences, APIs, and MCPs to its analytics database, turning user questions into fast, correct answers. The role partners with engineers across product teams—including Data Management, marketing analytics, Session Replay, Experiment, and CDP—and with the Query team, whose engine the compute layer uses. This role is intended for an engineer who wants to grow quickly by owning small- to medium-complexity projects end to end in a changing system. The engineer will build query capabilities and shared components, improve reliability and performance, participate in safe system changes, develop expertise in part of the platform, and stay focused on customer outcomes. The position is hybrid in San Francisco.

Requirements

2–4 years of experience building and running production services.
Strong backend engineering fundamentals, including writing clear, tested code and reasoning about failure, retries, and correctness in data-intensive systems.
Thoughtful problem-solving: understand context, decompose complex problems, seek clarification, and work toward clean solutions.
Ownership of quality, including instrumenting code and verifying outcomes before considering work complete.
Clear communication, including raising risks early and explaining decisions in writing and conversation.
Customer curiosity, including understanding customer problems and caring about whether shipped features improve users’ work.
Ability to use Amplitude and explain it to others.
Fluency with AI-assisted engineering, with responsibility for understanding and validating AI-assisted results.
A habit of seeking feedback, acting on it, and continuing to learn and improve.

Nice To Haves

Experience with query engines, columnar or analytical databases, or large-scale data processing.
Experience with observability, SLOs, and on-call work for a production service.
Side projects, writing, or talks that demonstrate learning in public.

Responsibilities

Design and ship query capabilities, extension points, and shared libraries or services that help product teams deliver new analyses.
Own the reliability of delivered work by defining tests and rollout plans, adding observability, understanding service SLOs, and addressing problems at their root.
Profile query paths, identify performance bottlenecks using traces and experiments, and verify that changes improve real customer workloads.
Participate in migrations of APIs, schemas, and services, using safe rollout practices and learning how abstractions can make future change easier.
Build expertise in a part of the system, answer teammates’ questions, and share knowledge through documentation and demos.
Understand the customer problem behind projects, assess whether work improved the customer experience, and bring findings back to the team.
Communicate risks and decisions clearly, give and receive feedback, and respond quickly when shipped work breaks.
Use AI to accelerate learning, exploration, and testing while understanding and validating the results.

Benefits

Medical, dental, and vision insurance, with 100% employer-paid premiums for employees on select plans.
401(k) retirement plan with an employer match of up to 1% of eligible pay per pay period, up to $2,000 annually.
Flexible time off and paid holidays.
Monthly wellness stipends and monthly commuter transit or parking stipends.
Quarterly learning and development stipends.
New-hire home office equipment stipend.
12 weeks of paid parental leave.
Carrot fertility, adoption, and surrogacy support.
Back-up child care support.
Mental health and wellness benefits, including no-cost employee access to Modern Health coaching and therapy sessions.
Employee Stock Purchase Program (ESPP).
Charitable giving grant and paid volunteer time off.
Equity and other forms of compensation.