Senior QA Automation Engineer

Role Overview We are looking for a Senior QA Engineer with a focus on automation and manual testing. The role involves ensuring product quality across functional and API, as well as maintaining and improving automated test coverage. You will also have an opportunity to leverage AI tools to support test creation and improve QA processes. The company operates in the FinTech industry and specializes in alternative investments. Role Responsibilities The role may involve up to 40–50% manual testing, while the rest will be focused on test automation, including AI-generated tests where appropriate. The exact balance may vary depending on project needs. Integration of automated test suites with the current build and deployment processes. Maintenance of automated tests to accommodate changes in system design and architecture. Integration of Automation framework with existing tools (JIRA). Create/Manage/Utilize Defect workflows with automated test execution. Design and publish meaningful metrics to support automation test creation and execution. Perform all types of testing — Functional, API, Automation, Manual and Load, including necessary manual validation where required. Role Requirements 5+ years of experience with QA engineering delivery experience 4+ years of delivery within Agile SDLC/teams ideally with CICD Programming experience in Java with focus on behavior driven development (BDD) and test-driven development (TDD) and design patterns, ideally within continuous integration (CICD), including hands-on experience for backend automation Experience with Java microservices and REST APIs and exposure to React front end Strong experience in data engineering, including data pipelines, ETL/ELT processes, and big data processing Hands-on experience with Apache Spark, Databricks, and distributed computing environments Experience designing and implementing streaming data processing solutions and scalable data platforms Experience with Playwright and TypeScript Agile development approach CICD: Maven, Sonar, Git, Teamcity/Jenkins, Docker AI Integration experience preferred Exposure to banking and/or finance environments preferred Strong communication skills: English B2+ Interview Process Intro Call with Recruiter (45 minutes) Technical Interview (90 minutes) Call with Tech Lead (30 minutes) Client’s Interview (60 mins)