About the role
Introduction Overview: We are seeking a QA Automation Consultant to design, implement, and scale test automation solutions for our customers. You will lead discovery, build frameworks tailored to diverse client environments, integrate automation into CI/CD, and enable client teams through training and handover. This role blends deep technical expertise with consulting skills to drive measurable quality outcomes. Job Description
Responsibilities: Work as part of an agile development team within the Financial Crime Prevention Professional Services team. Deliver quality-assured automation scripts using web & API (REST/SOAP) based automation tools (e.g., Selenium, RestAssured). Coordinate with developers to build and execute test cases/test scripts for new or updated product features. Participate in daily scrum calls, explain progress, and propose solutions for blockers. Integrate tests into client CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, Azure DevOps), configure quality gates, and set up reporting/dashboards. Help collate quality metrics, and contribute to measures to increase automated test effectiveness and efficiency. Leverage artificial intelligence (AI) tools—including Generative AI and AI-powered code assistants—to accelerate code development, improve test script generation, and enhance automation workflows. Evaluate, adopt, and provide feedback on emerging AI tools for code development, test automation, and defect analysis. Collaborate with team members to identify opportunities for AI solutions that improve software quality and productivity. Required Skills &
Qualifications: Design and develop automation scripts using tools such as Selenium/Playwright, RestAssured. Familiarity with automated test frameworks (preferably Cucumber, BDD, etc.) and contribution to development/implementation of automation test tools. Scripting and executing functional and non-functional tests. Experience using defect and test management tools (e.g., JIRA). Practical experience using AI-enhanced developer tools (e.g., GitHub Copilot, Tabnine, Amazon CodeWhisperer) for code development and optimization. Ability to apply AI-powered solutions in the automation and testing lifecycle, including autonomous test case generation, defect prediction, and smart documentation. Adaptable to enterprise constraints (SSO, proxies, VPNs) and able to quickly learn new domains and tech stacks. Preferred Skills &
