蚂蚁国际-Software Development Engineer in Test (SDET)-Malaysia

As an Software Engineer in Test, you will help shape and drive QA processes from the ground up. You will be working cross-functionally with engineers, product managers, and business stakeholders to define and measure quality at every level of our stack. This is a great opportunity for someone who thrives in a collaborative environment and is eager to grow their technical and testing skills. -Design, develop, and maintain automated test frameworks and tools to improve test coverage and reliability. -Execute and manage manual, exploratory, and regression testing for new features and releases. -Analyze system specifications and technical requirements to provide feedback and ensure testability. -Identify, document, and track bugs through resolution, contributing to improved product quality. -Support the team by building and maintaining CI/CD test pipelines and integrating automated tests into release workflows. -Collaborate with developers to ensure proper testing is done throughout the development lifecycle. -Participate in code reviews and test plan reviews. -Help establish quality processes and best practices across the engineering team. -Investigate and recommend tools or practices that help scale QA and improve team productivity.

-2–5 years of experience in software testing, automation, or software development. -Proficient in at least one programming language (e.g., TypeScript, JavaScript, Python, or Ruby). -Hands-on experience with automated testing tools such as Playwright, Selenium, Capybara, or RSpec. -Strong understanding of testing methodologies including unit, integration, and E2E testing. -Experience writing and executing test plans and test cases, both automated and manual. -Familiarity with CI/CD pipelines and test automation integration. -Ability to work independently in ambiguous environments with a strong bias toward action. -Excellent communication and debugging skills. Good to Have -Experience testing multilingual or mobile applications. -Familiarity with AWS, monitoring tools like Datadog, or performance testing. -Exposure to backend systems, APIs, or infrastructure. -Experience working with agile teams or in fast-paced startup environments. -Open-source contributions.