Full Description

About Us

Foodhub currently has 30,000+ restaurant, takeaway, stadia, hotel and bar clients in the UK, Ireland, USA, Canada, Nigeria, Grenada and ANZ. Today, Foodhub powers the technology behind many different QSR's, stadia and venue, online order, delivery and POS businesses, giving them a multi-solution tech stack to drive their business forward and open new revenue streams.

From the moment a consumer is thinking of placing an order, to the time the order arrives at their door and a review is posted to social media, Foodhub has solutions to drive the consumer experience, whilst adding extra value via our ecosystem of partners. The Foodhub Tech Stack is extensive: from Web and Mobile Ordering to 3rd Party Order Aggregation, Dispatch and Self-Delivery, complete Hardware/Software POS systems, extensive array of POS integrations, On-Premise Kiosks, QR Code Ordering and Payment, Table-side Mobile Order/Receipt Printers, plus an extensive product and development team to support all of this.

5–8 years in software testing, SDET or Quality Engineering, with strong hands-on automation experience. Strong programming skills in Java, TypeScript or JavaScript. Strong Playwright experience and automation framework design experience. Strong API automation experience; REST Assured or equivalent. CI/CD, Git, debugging and strong software-testing fundamentals. Functional, integration, regression and end-to-end testing. Appium/mobile automation experience is strongly preferred. Selenium, TestNG/JUnit, SQL, Docker/cloud execution, performance or security testing are valuable.

Requirements

AI-Native Quality Engineering

AI is a core requirement of this role. You will use AI throughout the quality lifecycle—not simply as an occasional chatbot. Analyze requirements and acceptance criteria; identify missing scenarios, edge cases and risks. Generate and improve test scenarios, automation code and synthetic test data. Use AI coding assistants to accelerate development, refactoring, debugging and test maintenance. Use AI to analyze failed tests, logs, screenshots and stack traces and accelerate root-cause analysis. Explore AI-assisted test maintenance, intelligent regression selection and self-healing approaches. Automate QA reporting and test-result analysis where practical.

Automation & Continuous Testing

Build scalable automation using Playwright and appropriate supporting technologies. Develop API automation and validation; use API-level tests to reduce unnecessary UI testing. Maintain functional, integration, regression and end-to-end automation. Use Appium for mobile automation where required; Selenium experience is valuable. Reduce flaky tests, enable parallel execution and improve feedback time. Integrate automation into Jenkins or equivalent CI/CD pipelines and establish meaningful quality gates. Continuously identify manual testing that can be automated or eliminated.

AI / LLM Quality

Test AI features for accuracy, relevance, consistency, reliability, context handling and failure behavior. Evaluate hallucinations, prompt injection, adversarial inputs, safety/guardrails and boundary conditions. Define evaluation criteria and automated evaluation pipelines for AI-powered features. Experience with RAG, embedding, vector databases, conversational AI, tool/function calling or AI agents is strongly preferred.

Understand testing of the full RAG flow: Query → Retrieval → Context → LLM → Response. Understand agent risks such as incorrect tool selection, invalid parameters, repeated calls, state errors and failure recovery.

Quality Engineering & Product Ownership

Challenge unclear requirements and implementations constructively. Work closely with developers and product managers to identify quality risks early. Participate in refinement, sprint planning, design discussions, release planning and retrospectives. Investigate defects rather than simply reporting them; think from the customer perspective. Balance release speed with product quality in a fast-moving Agile environment.