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ShyftLabs • Hyderabad, Telangana, India
Salary: 500 compa
Role & seniority: QA Engineer, experienced (3+ years)
Stack/tools: Selenium, Cypress, TestNG (or similar); API testing (REST, GraphQL, Postman); SQL/database testing; Python/Java/JavaScript for test automation; CI/CD; cloud platforms (AWS, Azure, GCP); experience with AI/ML testing approaches
Design and execute test strategies for AI applications (model performance, accuracy, reliability)
Develop automated test frameworks for enterprise integrations, APIs, and real-time data processing
Perform end-to-end testing of agentic AI workflows and multi-system integrations; establish continuous testing and quality gates
3+ years QA experience with solid software testing fundamentals
Test automation frameworks and API testing expertise
SQL/databases, data pipelines testing, and distributed systems testing
Programming in Python/Java/JavaScript; CI/CD integration of tests
Cloud experience (AWS/Azure/GCP) and strong analytical/edge-case design
Effective cross-functional collaboration and clear documentation
AI/ML testing methodologies and performance/scalability testing
Experience with data processing pipelines and cloud-agnostic deployments
Location & work type: Location not specified; Full-time role (remote/hybrid arrangements not defined)
ShyftLabs is seeking an experienced QA Engineer to ensure the quality and reliability of our cutting-edge AI applications. You will be responsible for testing complex agentic AI systems, enterprise integrations, and data-driven products that serve Fortune 500 companies. This role requires expertise in both traditional software testing and specialized AI/ML testing methodologies to deliver robust, scalable products that meet enterprise-grade standards.
ShyftLabs is a leading data and AI product company founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital products built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.
Design and execute comprehensive test strategies for AI applications, including model performance, accuracy, and reliability testing. Develop automated test frameworks for enterprise integrations, APIs, and real-time data processing systems. Perform end-to-end testing of agentic AI workflows and complex multi-system integrations. Collaborate with engineering teams to implement continuous testing practices and quality gates. Test cloud-agnostic deployments across AWS, Azure, and GCP environments. Conduct performance testing for high-throughput enterprise workloads and scalability requirements. Work with Product Managers and Technical Leads to define acceptance criteria and testing requirements.
Basic Qualifications
Bachelor's degree in Computer Science, Engineering, or related technical field. 3+ years of QA engineering experience with strong fundamentals in software testing methodologies. Experience with test automation frameworks (Selenium, Cypress, TestNG, or similar tools) API testing expertise including REST APIs/GraphQL, Postman, and integration testing. Database testing skills with SQL proficiency and experience testing data pipelines. Experience with cloud platforms (AWS, Azure, GCP) and understanding of distributed systems testing. Programming skills in Python, Java, or JavaScript for test automation development. Experience with CI/CD pipelines and integrating automated tests into deployment workflows. Strong analytical skills with ability to identify edge cases and design comprehensive test scenarios. Communication skills to collaborate effectively with cross-functional teams and document findings clearly.
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\n We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.