Senior QA Engineer

6 - 10 years

8 - 12 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Advanced Problem-Solving Apply strong analytical skills, data structures, and algorithmic thinking to design resilient test strategies for complex systems.
  • Test Architecture & Strategy Lead the creation of scalable QA frameworks, automation pipelines, and testing best practices across frontend, backend, and cloud environments.
  • API & Microservices Testing Design and execute tests for secure, scalable APIs and microservices, ensuring smooth system integrations.
  • System Integration Validation Validate end-to-end workflows across heterogeneous systems and third-party services.
  • Performance & Scalability Testing Ensure applications meet high-performance benchmarks under load, stress, and concurrency scenarios.
  • UX & Functional Assurance Partner with UX/UI and product teams to validate accessibility, usability, and cross-platform consistency.
  • Automation & Code Quality Develop and maintain robust automated test suites (unit, integration, functional, regression, and E2E).
  • Debugging & Issue Resolution Investigate defects, provide root cause analysis, and work with engineering teams for quick resolution.
  • Productivity & AI Tools Introduce AI-driven approaches to improve test efficiency, coverage, and predictive defect detection.
What You ll Need to be Successful in this Role
Primary Skills:
  • Strong expertise in automation frameworks (Selenium, Playwright, Cypress, NUnit, JUnit, or TestNG).
  • Proficiency in programming/scripting languages such as TypeScript, Python, or C#.
  • Solid understanding of cloud platforms (AWS, Azure, or GCP) and cloud-native testing practices.
  • Strong knowledge of CI/CD pipelines and integration of automated tests into DevOps workflows.
  • Experience with performance testing tools (e.g., JMeter, k6, LoadRunner).
Secondary Skills:
  • AI-Driven QA Skilled at leveraging AI-powered tools for automation, test case generation, debugging, and anomaly detection, including:
  • Test Generation & Assistance: CodiumAI, Testim.io , ChatGPT, GitHub Copilot
  • Exploratory & Visual Testing: Applitools, Percy
  • Data-Driven Testing: OpenAI API, LangChain for dynamic test datasets
  • DevOps Automation: AIOps tools for CI/CD quality gates, monitoring, and failure prediction
  • Familiarity with containerization & monitoring tools (Docker, Splunk, Kubernetes, Azure DevOps, AWS, TeamCity).
  • Exposure to shift-left testing practices and QA in agile/DevOps environments .

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