Job Description

The Opportunity

We're doing an AI-first engineering rebuild for a company that already has an audience of 100M+ people. This is a zero-to-one build with no legacy constraints. You're not here to inherit a decade of flaky tests and silent outages. You're here to build quality and reliability practices from scratch, using AI tools to move faster and catch more than was ever possible before.

The Product

You'll be part of a small team setting the quality and reliability bar for a consumer-facing platform shipping to millions of users. The work spans automated testing, CI/CD integration, and production monitoring across a fast-moving, AI-native engineering org. That means:

• Automated test coverage across unit, integration, end-to-end, and performance testing that catches regressions before they reach users.
• CI/CD pipelines with quality gates that give every engineer fast, reliable feedback on every commit.
• Production monitoring and alerting that surfaces real issues quickly so the team can respond before users notice.

What You'll Do

• Build and maintain automated test suites across mobile and backend surfaces, with a focus on coverage, reliability, and speed.
• Integrate quality gates into CI/CD pipelines, ensuring tests run on every commit and block bad code from reaching production.
• Monitor production systems for anomalies, contribute to incident response, and follow through on root-cause fixes.
• Work closely with engineers across the team to embed quality thinking into the development process, not just the release gate.

Who You Are

• AI-Native: You're already using AI tools daily to write tests, diagnose failures, and move faster.
• QA Builder: 2+ years of hands-on experience building and maintaining automated test infrastructure for consumer-facing mobile or web products.
• Reliability Minded: You care about what happens after code ships. You monitor, you alert, and you follow through when something breaks in production.
• Collaborative: You work well with engineers, communicate clearly about quality risks, and help the team ship with confidence rather than slowing them down.

Hands-on experience with test automation frameworks (Playwright, Appium, Espresso, XCTest, or equivalent), CI/CD pipelines, and at least one observability or monitoring tool. Bonus points for experience with AI-assisted QA tools, mobile app testing at consumer scale, and familiarity with SLO and error-budget concepts.