• 5+ years’ experience in Quality Engineering and Test Automation, with strong hands-on expertise in frameworks such as Playwright, Serenity, Pytest, Cucumber, or similar technologies.
• Advanced proficiency in Python and/or JavaScript/TypeScript, with proven experience designing, building, and maintaining scalable automation frameworks using sound software engineering principles, design patterns, and code quality standards.
• Proven experience automating functional, regression, integration, API, and end-to-end testing across web applications, REST APIs, microservices, and cloud-native architectures, supported by strong test data management and data quality practices.
• Strong understanding of modern quality engineering practices, including BDD, TDD, Shift-Left Testing, Risk-Based Testing, continuous testing, and SQL/database validation across data warehouses, data lakes, and platforms such as BigQuery.
• Experience implementing automated testing within CI/CD pipelines and validating applications deployed on AWS and/or GCP, with a strong focus on framework scalability, continuous improvement, and engineering excellence.
• Practical experience leveraging AI-assisted engineering tools to improve testing efficiency and automation coverage, with knowledge of quality engineering considerations for AI-enabled applications, including model evaluation, reliability testing, and guardrail validation.
• Strong analytical, problem-solving, stakeholder management, and communication skills with a high degree of ownership; experience with Docker, Kubernetes, Jira/Xray, custom testing tools, AI agents, or Asset Management and Financial Services domains is advantageous.