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Engineering
QA Engineer
Summary
Own quality across our voice agent platform. You will design and execute test strategies for conversational flows, real-time audio pipelines, and the APIs developers build on, catching issues before they reach production and helping the team ship fast without breaking things. This is a hands-on role that blends manual exploratory testing, talking to and stress-testing voice agents, with building durable automated test coverage.
What you'll do
- Design, write, and maintain test plans for voice agent conversational flows, including edge cases, interruptions, accents, and noisy audio conditions.
- Build and maintain automated test suites for backend APIs and integrations (regression, functional, and end-to-end).
- Benchmark AI systems for quality and performance.
- Test real-time voice pipelines end to end (ASR, TTS, latency, and call quality) across telephony integrations (SIP/PSTN) and supported platforms.
- Partner with engineering during feature development to define acceptance criteria and catch issues pre-release.
- Own release regression testing and sign-off before deploys.
- Track, triage, and clearly document bugs; work with engineers through resolution and verification.
- Monitor production quality signals (call success rate, latency, failure modes) and flag regressions.
- Help build out QA process and tooling as the team and platform scale.
What we're looking for
- 3+ years of experience in QA, SDET, or a related software testing role.
- Experience testing APIs and backend services, and writing test automation (e.g., Python, pytest, Postman/Newman, or similar).
- Strong exploratory testing instincts; comfortable digging in without a fully scripted test case.
- Clear, precise bug reports and comfort working directly with engineers to resolve them.
- Solid understanding of CI/CD and how automated testing fits into a release pipeline.
- Based in or willing to work from Guava's Downtown Los Angeles (Arts District) office.
Nice to haves
- Experience testing voice, audio, or telephony systems (IVR, contact center, or conversational AI products).
- Experience owning backwards compatibility for a public SDK: designing and maintaining a version compatibility matrix, building contract tests that catch breaking changes in CI, and defining deprecation policy.
- Familiarity with load/performance testing tools.
Why Guava
- Own quality for a voice AI platform running in real, regulated production, not a research demo.
- Direct access to engineering leadership; no layers.
- Join a technical team building the reliability and audio quality the product depends on.