Senior QA Automation Engineer (SDET)
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Role details
Tech stack
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Job description
The Software Development Engineer in Test (SDET) team supports platforms delivery by ensuring high-quality, reliable, and scalable software solutions through modern automation testing practices. The role focuses on automated testing of integration services, APIs, reporting capabilities, and business-critical platform functionality across enterprise systems. The environment includes SQL Server, C#.NET, Python, AWS, and CI/CD-based delivery pipelines, with strong focus on automation, AI-assisted testing, and continuous quality improvement.
Responsibilities
Design, develop, and maintain automated testing frameworks and test suites.
Create API, integration, backend, regression, and data validation tests.
Support CI/CD integration and automation improvements.
Collaborate closely with developers, business analysts, and DevOps teams.
Validate complex business logic and reporting requirements.
Analyze defects, troubleshoot issues, and support root cause analysis.
Improve testing efficiency through automation and AI-assisted tooling.
Contribute to quality standards, documentation, and testing best practices.
Requirements
Do you have experience in Tooling?, Must have
Strong experience in automation testing.
Good programming skills in C#.NET, Python, or Java.
Experience with API, backend, and integration testing.
Knowledge of SQL Server and database validation.
Experience with CI/CD pipelines and automation tools.
Understanding of SDLC, Agile delivery, and software testing methodologies.
Exposure to AWS, Angular, Terraform, Ansible, Sybase.
Strong analytical and troubleshooting skills.
Exposure to cloud platforms and AI-assisted testing approaches is beneficial.
Nice to have
Financial services experience is preferred.
About the company
Our client is a leading global Financial Market data provider who runs a number of change programs to deliver high-quality software that connects Financial Markets across the globe in a real-time, high frequency, and low-latency data management chain. The projects are technically challenging in an environment that is very engaging.
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