Project is related to regulatory reporting for one of Clients from Investment Banking area. We are seeking a highly skilled Senior QA Automation & Performance Test Engineer to join our dynamic crew. The ideal candidate will be responsible for designing, developing, maintaining, and executing automated and performance test scripts to ensure the quality, reliability, and scalability of our software products. This role requires a strong background in software development, test automation frameworks, performance testing, and a passion for delivering high-quality solutions.

· Collaborate with cross-functional teams to understand software requirements and develop comprehensive test plans, cases, and scenarios.

· Design, develop, and maintain automated and performance test scripts using industry-standard tools and frameworks.

· Own and manage all non-functional testing activities, including performance, stress, load, and regression testing.

· Continuously research and evaluate new testing technologies, tools, and methodologies to improve efficiency and effectiveness.

· Advocate for best practices in testing and quality assurance, contributing to process improvement.

· Develop custom tools and integrate with existing tools to increase engineering productivity.

· Ensure quality, security, reliability, and compliance by testing both functional and non-functional requirements.

· Coordinate test activities within the pod and across other test managers as required.

· Enable and drive a culture of 'automation-first' in the QA space.

· Perform in-sprint automation testing and build regression test suites.

· Analyse errors using logs, database queries, legacy and Unix file systems, etc.

· Expertly manage the complete test and defect lifecycle across agile and waterfall methodologies.

· Generate test reports and share status across multiple levels.

· Capacity planning and management of web, microservices, and mobile applications.

· Performance monitoring and tuning of applications using tools like AppDynamics, AppInsights, Splunk.

· Use quantitative methods to identify performance and throughput bottlenecks.

· Work on large-scale migration projects for financial institutions’ core platforms.