About the role

THE ROLE You will take complete ownership of quality across an ecosystem that serves real-time retail audio, ad campaigns, and IoT hardware streams daily. The core technical challenge is ensuring absolute reliability across a fragmented architecture—spanning four web apps, Python services, edge devices, and mobile platforms. You will establish the testing framework from scratch, migrating manual verification into AI-assisted test automation that dictates production releases. ABOUT THE PRODUCT The product is an in-store AI audio and ad-tech platform that streams dynamic music, live announcements, and location-targeted campaigns to physical retail spaces. It runs on a distributed architecture handling multi-tenant web portals, complex ad-auction engines, mobile interfaces, and custom hardware playback devices operating in low-reliability network environments. Technology Stack: The backend is built in Python, while the web interfaces use React and TypeScript alongside a React Native mobile player. Infrastructure and edge environments rely on Raspberry Pi running embedded Linux, orchestrated via Docker Compose, git, and GitHub Actions for CI/CD. Test engineering leverages Claude Code and Cursor for AI-generated automation across Playwright, Pytest, and custom CLI/Bash tooling. WHAT YOU’LL BE DOING - Establish the release gatekeeping strategy to independently approve or block production deployments across all platforms - Convert manual hardware and software validation rules into automated regression suites using Claude Code - Engineer end-to-end UI automation across four web applications using modern execution frameworks like Playwright - Develop API integration tests validating real-time ad serving, playlist generation, and transactional event reporting - Expand Docker Compose test environments to automate real-time streaming validation for Raspberry Pi edge devices - Conduct physical edge-device testing to verify hardware power-loss recovery, local caching, and ad-insertion timing - Author structured, edge-case-driven test documentation and step-by-step verification protocols in Notion - Trace system failures directly through server logs, SSH sessions, and CLI diagnostics to deliver isolated bug reports WHAT WE EXPECT MUST-HAVE - Computer Science degree or equivalent demonstrated depth through complex side projects, hardware builds, or competitive programming - Advanced command-line proficiency (Linux CLI, SSH, process management, shell scripting, log analysis) - Solid comprehension of distributed web architecture, API contracts, client-server interactions, and database behavior - High degree of autonomy with a natural tendency toward systematic edge-case discovery - Fluent spoken and written English with overlap for UTC+2 working hours NICE-TO-HAVE - Hands-on experience with AI-assisted software generation (Claude Code, Cursor) - Exposure to embedded Linux, Raspberry Pi, or home-lab infrastructure - Familiarity with test frameworks such as Pytest, Playwright, Vitest, or Cypress WHY THIS ROLE IS WORTH YOUR TIME - Full authority over the release decision pipeline—your sign-off directly controls what goes to production - Early adoption of modern AI-first engineering workflows where test generation is built via AI pair-programming tools - Direct ownership over end-to-end software and hardware execution loops, giving you broad operational reach across web, API, mobile, and IoT systems