We are looking for a seasoned Senior Automation QA / SDET with strong programming and automation skills to build and maintain scalable, robust test frameworks. The ideal candidate should have experience in both UI and API test automation, with a keen eye for detail, solid debugging ability, and the drive to ensure product quality throughout the SDLC.
Job listings
The Manual QA Engineer will design functional, integration, and regression test plans, build and execute manual test cases, and perform highly complex analyses for multiple products. They will also set cross-functional product testing standards and analyze, evaluate, and plan methods of approach and organize means to achieve solutions to complex problems. This role involves cultivating knowledge of quality assurance best practices and maintaining/supporting testing tools.
The SDET Engineer will support the distributed engineering team by maintaining and improving the quality of software products as part of the release process. Responsibilities include analyzing and reporting defects captured by automation, defining and implementing new test cases, improving and scaling testing capabilities and infrastructure. Some international travel will be involved.
Implement and execute tests at all planned levels, log and evaluate results and document deviations from the expected results. Use tests administration, monitoring, and management tools and participate in test environment setup. Prepare and acquire test data and contribute to test documentation creation/validation/update process. Review project requirements and specifications to convert them into quality control process artefacts and communicate with other Team Members. Report Test Progress to Stakeholders.
Estuate is seeking a skilled and detail-oriented Data Tester to join their Hyderabad team. The ideal candidate will have strong experience in ETL testing, SQL scripting, and Python-based data validation. Responsibilities include performing ETL testing, writing SQL queries, developing Python scripts, creating and executing test plans, and logging defects.
Develop and execute automated tests for microservices and infrastructure components. Implement Pact contract testing to ensure API stability. Design and maintain test automation frameworks for backend services. Conduct performance and load testing for distributed systems. Work with DevOps Engineers to integrate tests into CI/CD pipelines.
The QA Engineer will help ensure the quality of our cross-border payment solutions, working closely with the development team to test both our mobile application (iOS, Android) and backend APIs. The role involves hands-on automation and manual testing to ensure high product quality in a fast-paced environment with many technical challenges. This is an opportunity to work on meaningful financial products with complex integrations, diverse user needs, and high demands for reliability.
This role requires a balance of hands-on technical contributions and team leadership, with a strong emphasis on mentoring peers and driving high team performance. As a member of the Enterprise Systems team, you will be a member of a technology team that successfully delivers and supports software solutions supporting improved Customer and Employee experience in an agile DevOps environment.
Looking for a highly motivated SDET to join our team and ensure the quality and reliability of applications that incorporate AI/ML components. This role demands strong skills in automated testing, using scripting like Python, TypeScript, and hands-on experience with cloud infrastructure (preferably AWS). Exposure with solutions built using AI/ML/GenAI is a key advantage.
We are looking for an experienced QA Performance Engineer responsible for planning, implementing and monitoring quality assurance strategies and procedures to give our clients the best service to ensure the non-functional requirements for performance are met. You will design, develop, and execute performance and load tests using tools such as Locust.io or Artillery.io. You will also analyze performance metrics, identify bottlenecks, and provide actionable recommendations to development teams.