Affirm
Senior
Build the test-data, mocking, and load-testing platforms that let Affirm engineers ship with confidence at scale
This role sits on Affirm's Test Enablers team within Developer Productivity, building platform capabilities for synthetic identities, test data seeding, mocking, deterministic testing, and load testing in support of a stated goal of scaling to 1,000 PRs/day by December 2027. It's a backend platform-engineering role (Python/Kotlin/Java) focused on shifting testing away from expensive E2E-only validation toward stronger component/integration/contract/performance testing, plus preparing infra for AI-assisted development workflows. Expect deep dives on distributed systems design, operational ownership (SLOs, runbooks, on-call), and driving ambiguous technical initiatives end to end.
Step into this interview
Free · a live voice mock calibrated to this exact role
What this interview tests
- Building and operating platforms for synthetic test data, mocking, and load testing
- Shifting a test strategy from E2E-heavy toward component/integration/contract testing
- Operational ownership: SLOs, alerting, runbooks, incident readiness for internal platforms
- Diagnosing and fixing flaky or false CI failures at the systemic level
- Leading ambiguous, medium-to-large technical projects end to end
- Designing deterministic, observable validation feedback for AI-agent-driven development workflows
Common question themes
Describe a test/developer-productivity platform you built end to end, including test data or synthetic identity design
How have you shifted a team from E2E-heavy testing toward a stronger testing pyramid
Walk through how you added SLOs, alerting, and runbooks to a system you owned, and an incident that tested it
Tell me about diagnosing and eliminating flaky or false-failure CI signals
How would you design test validation feedback for an AI agent consuming CI signals, versus a human
Describe a time you led a technical project through high ambiguity with unclear requirements