[Hiring] Software Testing Engineer @Newxel

Role Description

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.

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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• 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.