Ling is a language learning app with 2M+ learners across 70+ languages. Our engineering team is small, and we test alongside development rather than at the end. We already use Maestro, Bruno, AI code-review agents, and nightly AI-driven chaos testing. We want someone to take our automation and AI-driven testing to the next level. You'll own the automation roadmap, automate what is still manual, and help engineers take greater ownership of testing. We're looking for a hands-on builder who uses AI tooling daily and turns new ideas into reliable workflows. This is a senior IC role with mentorship responsibility for two QA engineers, with potential to grow into QA leadership as the team expands. Roughly 60% of the role is automation and tooling; 40% is hands-on testing and release sign-off. Your year-one priorities There is a lot we could automate, but these are the areas we expect you to focus on first: Build AI-driven testing into the engineering workflow - develop and maintain Claude routines, MCP-based device automation, and agents that identify what needs testing based on code changes and tickets. Build out mobile automation - own and expand our Maestro coverage across iOS and Android, prioritizing the most important user journeys and regression risks. Make API testing part of the development workflow - expand Bruno coverage and run the relevant API tests automatically in CI on every merge. Improve our feedback loop from production to tests - triage production issues, identify the missing coverage, and turn real-world failures into regression tests. Chaos testing, exploratory testing, release coverage, and continuous improvement of the broader QA stack remain important parts of the role. Automation and tooling Own and grow the Maestro test suite across iOS and Android. Extend API test coverage in Bruno and integrate it into CI. Build and maintain AI-driven testing workflows using Claude, MCP device automation, and tools such as Maestro MCP, Agent Device, and Argent MCP. Build agents that compare code changes against tickets and flag what needs testing. Keep nightly AI-driven chaos testing running and make it better, including video capture and reporting back into tickets. Decide what should be automated next, prioritize it based on risk and value, and make the case to the team. Evaluate new AI and testing tools as the ecosystem evolves and bring useful ones into the team's workflow. Testing and releases Perform hands-on testing of new features, edge cases, and exploratory scenarios. Own release regression and smoke coverage across iOS and Android. Test in-app purchases and subscriptions on the App Store and Google Play. Triage production issues using Firebase Crashlytics, Bugsnag, and related diagnostics, then add regression coverage for the underlying issue. Read specs and designs early and give feedback before code exists. Verify feature flags and Firebase Remote Config rollouts, including A/B variants. Use Firebase Test Lab and other device-testing infrastructure where appropriate. Balance automation with targeted manual testing where human judgment adds the most value. Team Mentor the two QA engineers on automation, scripting, and AI tooling, including regular pairing sessions. Run knowledge-sharing sessions and keep testing documentation current. Help move the team from manual-first testing toward an automation-first mindset. Work with engineers to make testing part of their development process rather than something QA handles at the end.