SDET Intern (Mobile and DeFi) at Token Metrics

Mission We are building a mobile-first passive investing app on HyperEVM. Our software handles real user funds and there is no undo button on-chain. Reliability and safety are core product features. We do not run manual QA as a primary strategy. This role builds automated testing and quality gates that catch failures in CI before they reach users What you will do You will build and maintain an automated defense system for our highest-risk flows:Wallet connectionUSDC deposit and withdrawPortfolio selectionRebalance and risk guardrailsveTMAI membership gating Stack - Mobile automation: Maestro (YAML-based flows for mobile UI and WebViews) - Smart contract testing: Foundry (unit tests, fuzzing, invariants) - Web automation: Cypress (secondary coverage for the read-only web dashboard) - CI/CD: GitHub Actions - Core code: TypeScript (React Native) and Solidity (ERC-4626 vaults) Requirements Must-haves - You are engineering-first. - You write automation as production-quality code, not record-and-playback scripts. Experience with at least one mobile E2E tool: - Maestro, Detox, or Appium. - Comfortable with CI/CD and GitHub Actions workflows. Strong debugging habits: - You read logs, isolate root cause, and fix determinism issues. - Clear written communication and consistent progress updates. Nice-to-haves DeFi familiarity: - ERC-20 approvals, wallet signatures, and basic transaction states (submitted, confirmed, reverted). - Foundry experience (or strong Solidity testing instincts). - Experience testing React Native apps with WebViews. - Experience shipping in a fast-moving startup environment. Interview process - Portfolio review: We review your GitHub and look for evidence you built automation, CI, or test infrastructure that shipped. - Take-home build: We provide a simple React Native build and ask you to produce a working Maestro flow plus a minimal CI workflow. - Technical walkthrough: You explain your selector strategy, wait strategy, failure handling, and how you would scale coverage. To apply Send: - GitHub link (or a code sample) - A short note describing the hardest test automation problem you solved and how you approached it