The Product Quality Engineer is responsible for ensuring the reliability and quality of the ATOM platform across complex, end-to-end workflows. This role combines functional and technical testing, working across frontend interfaces, backend APIs and data layers to validate system behaviour in a complex SaaS environment.

This is a hands-on quality role for someone who is product-aware, technically confident and comfortable working in a fast-moving environment. The role is responsible for maintaining and evolving automated regression suites, validating business-critical workflows, supporting rapid releases, and using modern tools - including AI-assisted testing - to improve speed, coverage and efficiency.

Functional & Technical Testing

• Design and execute test scenarios across frontend, APIs and data layers.
• Validate complex business workflows in a SaaS / platform environment.
• Perform functional testing across user journeys, configurations and business-critical processes.

API, Data & Backend Validation

• Perform API testing and validate backend integrations, services and data flows.
• Work with databases, including PostgreSQL, to validate data accuracy, integrity and expected system behaviour.
• Test backend processes and integrations alongside frontend functionality to ensure end-to-end quality.

Regression Suites & Quality Practices

• Maintain and improve in-house automated regression suites and reusable test scripts.
• Identify gaps in test coverage and continuously improve quality practices across the platform.
• Contribute to test strategy, test planning, quality standards and release readiness activities.

AI, Collaboration & Continuous Improvement

• Use AI-assisted testing tools and modern QA practices to improve efficiency, coverage and problem solving.
• Work closely with Product Owners, engineers and stakeholders to understand requirements, risks and acceptance criteria.

Fast-Paced Delivery & Issue Resolution

• Support rapid release cycles with reliable, repeatable testing processes and clear communication.
• Perform root cause analysis, support defect investigation and help engineering teams resolve issues quickly.

• 4-7 years experience in QA / Quality Engineering within SaaS, platform-based or complex system environments.
• Strong experience testing both frontend and backend systems, including APIs, integrations and data flows.
• Experience with API testing tools such as Postman or similar.
• Experience working with relational databases, including SQL queries and PostgreSQL data validation.
• Experience maintaining regression test suites, test scripts and structured QA documentation.
• Strong communication skills, with the ability to work effectively with Product Owners, engineers and cross-functional teams.