Tata Elxsi | Quality Assurance Lead

2 days ago

bangalore, India Tata Elxsi Full time

Experience:

10+ years in software testing with at least 5 years in QA leadership roles.


Skills & Competencies:

Must Have:

Technical Skills:

  • Proficiency in REST API, SQL, NoSQL, and Python.
  • Experience with SQL and MongoDB queries, JSON/XML payloads, and REST endpoint testing using tools like Postman and JMeter.
  • Experience in UX/UI, CX and Customer / User Journey Test in Front end applications
  • Experience / Knowledge in building a test automation framework from scratch and optimizing existing automation and test processes.
  • Automate core and non core activities to improve efficiency, coverage and effectiveness. Have Right Quality FIRST TIME aspect ironed out.
  • Understanding of OTT Platforms, Device-Specific Knowledge, Requirement analysis, Test case design, Test execution, Defect triage process, Defect management process, Chromecast SDK, Web Technologies, Regression Testing Knowledge.
  • Tools: Jira, Zephyr, Android Studio, Xcode. Experience with front-end testing with multiple devices (Android, iOS, Smart TV, Web App, Web OS, Consoles, Roku, AFS, and Chromecast).


Design Skills:

• Experience with responsive/adaptive test design, test case development, UX/UI testing, and tools like Selenium. Knowledge of Progressive Web Apps (PWA) testing.


Domain Skills:

• Software testing methodologies, quality assurance, defect management. Knowledge of (SDLC), Agile Development Life Cycle (ADLC) , Product Development Life cycle (PDLC) and hybrid models


QA (Automation):

• Good to have: Knowledge and experience on Python, Selenium, Automation Frameworks, API Testing, Performance Testing, SQL and Database, Proficiency in Java/Kotlin for writing test scripts.

• Tools: Selenium, Appium, JIRA, Crashlytics, TestFlight, Charles Proxy.


Agile Process and Methodology Skills:

• Proficient in Agile/Scrum/Kanban development methodologies, experience with JIRA and Confluence. Tools and Framework:

• Mastery of test management tools, performance profiling tools, CI/CD pipelines (Jenkins), cloud technologies, security practices.


Preferred Skills:

  • Excellent leadership, communication, teamwork, and project management skills
  • Ownership: Demonstrate commitment, make it happen, do it well
  • Basic knowledge of AI/ML concepts.
  • Nurture learning & Growth: Enable learning, capability, enrichment and growth of our people.

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