Test Automation Engineer (H/F)

About us Witbe provides AI-powered test automation and real-time monitoring solutions for the world's leading video service providers. Our Witbox robots replicate real user behavior on real devices to test, monitor, and analyze video app quality - with actionable insights from Witbe's observability platform. Our latest advance: Witbe Agentic AI, an agent-native test automation system for video QA. Autonomous agents plan, execute, and analyze tests at scale - adapting to UI changes, generating coverage from requirements, and continuously improving error detection. 25 years in operation. Trusted in 50+ countries. Offices in Paris, New York, Denver, San Francisco, Montreal, and Singapore. You Know Their Names The broadcast network delivering live sports to over 100 million viewers. The telecom operator connecting a third of American households. The streaming services competing for every screen in every living room. They all run Witbe. We don't build their apps. We make sure their apps work - on every device, in every market, for every viewer. Our AI-powered robots sit inside their infrastructure, testing video services the way a real user would: launching apps, navigating menus, playing content, catching failures that no one else sees. This role is about being the engineer who deploys that technology at these clients, based in Singapore and covering the Asia-Pacific region. Role Description You're not a backend developer working on code that ships in six months. You're not coordinating workstreams from a spreadsheet. You're an engineer who deploys AI-powered test automation at major broadcast and telecom companies, and you deliver results in weeks, not quarters. Write code every day. Python is your primary tool: you script test automation scenarios using Witbe's Agentic SDK, pair-programming with Claude Code and AI assistants to move fast. You need to understand what the AI produces - classes, methods, logic - because you're responsible for production-quality output. Deploy monitoring scenarios on real devices - set-top boxes, Smart TVs, streaming sticks, phones - and configure dashboards, alarms, and thresholds tailored to each client's video services. Analyze test results and turn raw data into insights: what's failing, why, how often, and what it means for the client's video quality. Present these findings in Quarterly Business Reviews and regular check-ins, and train client teams to operate the platform independently. The goal is building confident users, not long-term dependency. You arrive with a system that already works. No blank-page discovery phase, no months of requirements gathering: you start with a configured platform producing real data, and you train the client to use it effectively. This is a technical, client-facing, delivery-driven role.

Qualifications : Master's degree in Engineering or equivalent (Computer Science, Software Engineering, Data Science, or related field). Working proficiency in Python. Fluent English, written and spoken - this is your daily working language. Eligible for V.I.E. (EU/EEA nationality, under 28 at mission start). Strong plus : Experience in a client-facing technical role (consulting, solutions engineering, technical support, implementation). Familiarity with data analytics and dashboards. Exposure to AI coding tools (Claude Code, GitHub Copilot, Codex). Knowledge of network protocols (TCP/IP, streaming tech like HLS/DASH). Why this VIE ? The clients. You'll work directly with the engineering teams of major broadcast networks and telecom operators across APAC. Not as an observer - as a technical partner, with your results on the screen. AI as a daily tool. You'll code with Claude Code and AI assistants every day. In 18 months, you'll have hands-on AI-assisted engineering experience that few senior engineers have today.