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.

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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