ShyftLabs

QA Engineer

ShyftLabs

full-time

Posted on:

Origin:  • 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudCypressDistributed SystemsGoogle Cloud PlatformGraphQLJavaJavaScriptJMeterPythonSeleniumSQL

About the role

  • Ensure the quality and reliability of cutting-edge AI applications serving Fortune 500 companies
  • 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

Requirements

  • Bachelor's degree in Computer Science, Engineering, or related technical field
  • 5+ 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
  • (Preferred) Experience testing applications that use LLMs and agentic systems in production environments
  • (Preferred) Knowledge of performance testing tools (JMeter, LoadRunner, or K6) for high-scale systems
  • (Preferred) Experience with real-time systems testing and event-driven architectures
  • (Preferred) Background in enterprise software testing or business intelligence platforms