Are you excited by the idea of helping scale a fast-growing tech business across London, Mumbai and Austin?
Do you want to contribute towards building cutting-edge automation systems that power real-time analytics and GenAI tools?
If so, we’d love to hear from you!
About Us:
Fospha is dedicated to building the world's most powerful measurement solution for online retail. For over a decade, we've helped teams make smarter decisions with full-funnel marketing insights, forecasting, and optimisation. With Fospha, every team moves faster and grows smarter.
Trusted by over 200 leading brands across three continents, including Huel, Oh Polly, and Represent, Fospha manages $2.5 billion in annual ad spend.
We're scaling fast across London, Mumbai, and Austin – and we're now looking for a QA Engineer to join our Engineering Team to support the growth of the business through all things automation, validation, and quality assurance.
Ready to make your mark? Let’s go! 🚀
The Role:
At Fospha, quality is everyone’s responsibility — and QA is the force multiplier that makes it happen. As a QA Engineer, you’ll bring deep automation expertise to ensure our software and data systems ship faster, safer, and smarter. You’ll work across the stack — from APIs and microservices to data pipelines — translating requirements into scalable, automated validation systems that give teams confidence at every release.
This is a fantastic opportunity to shape how quality is embedded across engineering and data workflows, while working with cutting-edge tools and collaborating across teams.
Key Responsibilities:
What are we looking for?
We hire for potential – you should apply if you:
Our Values and Principles:
You will be able to demonstrate examples of our core principles:
What we can offer you:
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This role involves designing, developing, and maintaining automated testing frameworks. Describe a time you had to build a new test automation framework (or significantly overhaul an existing one). What technical choices did you make (e.g., language, tools like Python/Playwright/Cypress) and why? How did you ensure it was scalable, maintainable, and easy for other engineers to contribute to?*
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