Senior Java QA Automation Engineer (ML)

We are looking for a Senior Java QA Automation Engineer (ML) to join our team and take ownership of quality across Java microservices and Machine Learning systems. You will build robust automated testing frameworks, contribute to a trunk-based development environment, and collaborate closely with developers, analysts, and Data Scientists to embed quality throughout the software lifecycle. This role has a strong focus on testing Machine Learning Systems, including model evaluation, functional testing, and monitoring for model drift.

Responsibilities

• Build and maintain automated tests for Java microservices, with exposure to integration testing between Java services and AWS Lambda functions
• Implement and maintain a microservices testing strategy, including unit, component, contract, and simple, maintainable end-to-end tests
• Support developers in running containerized services locally to prevent integration issues and keep pipelines clean in a trunk-based development environment
• Participate actively in Agile Scrum refinement sessions, ensure clear user stories and acceptance criteria, and apply BDD practices
• Collaborate with developers, analysts, and other engineers to embed quality early and continuously improve frameworks and pipelines
• Integrate automated tests into CI/CD pipelines to support trunk-based development
• Contribute to Agile ceremonies with a focus on quality and testability
• Explore new tools and approaches to improve test coverage and reliability
• Build and apply a Machine Learning Test Strategy, working with the Engineering Manager, Machine Learning, and Data Scientists to plan and implement an ML-focused test strategy
• Perform model evaluation, key functional testing, and monitoring of models to detect model drift

Requirements

• 4+ years of experience in Java development and test automation
• Expertise in Java, JUnit, and Rest-Assured for building automated tests
• Skills in Pact for contract testing, and Selenium or Cypress for UI testing where applicable
• Knowledge of microservices testing strategies
• Familiarity with AWS platform services, including Lambda, API Gateway, S3, CloudWatch, and IAM
• Proficiency in SageMaker ML Ecosystem quality tooling
• Experience working in Agile Scrum and applying BDD practices
• Familiarity with CI/CD pipelines and trunk-based development
• Strong communication skills and a passion for continuous learning
• English proficiency at B2 level or higher