Senior Software Engineer

• Lead the design, development, and maintenance of automated test frameworks
• Drive continuous improvement to optimize automated test coverage, speed, and reliability
• Create and maintain test scripts, suites, and pipelines to ensure consistent, high-quality releases
• Oversee scalability and performance testing to handle group-level workloads
• Collaborate with infrastructure teams to ensure load, stress, and soak testing are effectively executed
• Evaluate emerging AI-specific testing challenges (e.g., model accuracy, data validation) and incorporate solutions into QA processes
• Develop and manage QA processes, ensuring alignment with agile/DevOps methodologies
• Set performance metrics for test coverage, defect rates, and release readiness
• Coordinate with Scrum teams to integrate testing cycles into the development process
• Work closely with Product, Engineering, and Operations teams to prioritize testing activities and resolve quality issues
• Communicate QA progress, risks, and recommendations to key stakeholders

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
• Proven track record (5+ years) in quality assurance roles
• Hands-on experience with testing automation tools (e.g., Restassured, Playwright, Selenium, Cypress, JUnit, PyTest), CI/CD pipelines
• Have OOP programming language (e.g., Java, Type Scripts, Python)
• Experience testing large-scale platforms or distributed systems, particularly with performance and load-testing tools (e.g., JMeter)
• Strong understanding of DevOps practices and working with containerized environments (Docker, Kubernetes)
• Familiarity with AI/ML concepts and model testing techniques is highly preferred
• Demonstrated ability to build QA strategies for complex, enterprise-level platform
• Excellent communication, leadership, and organizational skills, with a proven ability to collaborate effectively across departments
• Willing to work with overseas teams

Familiarity with AI/ML concepts and model testing techniques

• Continuous professional development
• Flexible working
• Opportunities to grow within an inclusive and diverse environment