Software Testing Engineer (NXJ-196)

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