Senior Test Automation Engineer ensuring quality of SoterAI platform through automated and manual testing. Work closely with product team on testing, automation, and mentorship.
About the role
- Join OakNorth as an SDET to enhance automation in the lending domain utilizing Java. Collaborate within a dynamic team to ensure quality in banking applications.
Responsibilities
- Design, develop, and maintain robust automation frameworks (Java-based) for both UI and API layers.
- Build, execute, and maintain automated regression suites tied into CI/CD pipelines (e.g., Jenkins, GitLab CI/CD, AWS CodePipeline).
- Collaborate with development, product, operations and QA teams from early requirement and design phases to production release, ensuring quality is built-in (shift-left).
- Define test strategies, identify test coverage gaps, ensure test data management, environment provisioning, and automate test execution in AWS environments (e.g., EC2, Lambda, containers).
- Validate functionality, performance and reliability of lending/banking domain-specific workflows (e.g., credit decisioning, loan lifecycle, user onboarding, payments, risk).
- Monitor, analyse and report test metrics and quality indicators; raise risks, drive continuous improvement in quality processes.
- Stay current with test automation tools, frameworks, best practices, and domain trends (fintech, lending, banking) and propose improvements.
Requirements
- 4-5 years of professional experience as QA Automation Engineer / SDET with primary hands-on in Java.
- Strong experience in automation of UI (e.g., Selenium WebDriver, Cypress, Playwright) and API (e.g., RestAssured, Postman, Karate) layers — ideally both.
- Solid object-oriented programming skills (Java) and test framework experience (e.g., TestNG, JUnit, Cucumber/BDD).
- Understanding of the banking/lending domain: loan application flows, credit approval, underwriting, lifecycle of financial products or banking operations.
- Good analytical and problem-solving capabilities; ability to work in fast paced, startup-style environment.
- Excellent communication and collaboration skills across teams and geographies.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline with 4-5 years of work experience.
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