Sr Specialist Quality Engineering

• Design, develop, and maintain automated test scripts using Selenium and other relevant tools.
• Ensure test coverage across all layers: UI, API, database, and backend systems.
• Execute functional, regression, and integration tests to validate application features.

• Utilize JMeter to simulate load, stress, and scalability testing for applications.
• Analyze performance bottlenecks and collaborate with development teams to optimize system efficiency.

• Leverage Postman for testing RESTful APIs and validating JSON responses.
• Develop reusable scripts for automated API testing using tools like RestAssured or similar frameworks.

• Write SQL queries to validate data integrity, perform database testing, and ensure proper data flow across systems.

• Create and execute Unix shell scripts for log analysis, data processing, and automation tasks.

• Develop comprehensive test plans, strategies, and scenarios to ensure high-quality deliverables.
• Identify gaps in test coverage and proactively address them with innovative solutions.

• Troubleshoot defects, perform root cause analysis (RCA), and manage defect lifecycle within tools like Jira.
• Provide detailed and actionable bug reports to development teams.

• Work closely with product managers, developers, and stakeholders to understand requirements and define test objectives.
• Mentor junior QA engineers, fostering a culture of quality and continuous improvement.

• Maintain clear documentation for test cases, test results, and automation scripts.
• Ensure traceability between requirements, test cases, and defects.

Experience:

• Minimum 7-10 years of experience in QA engineering, with strong expertise in automation and performance testing.

Proven experience with the following tools and technologies:

• Selenium for UI automation
• JMeter for performance testing
• Postman for API testing
• SQL for database validation
• Unix Shell Scripting for automation and debugging

Skills:

• Proficiency in JSON for validating API responses and data structures.
• Strong knowledge of QA methodologies, testing techniques, and SDLC phases.
• Experience with version control systems like Git.
• Familiarity with CI/CD pipelines and tools like Jenkins.
• Understanding of Agile frameworks and DevOps principles.
• Ability to debug code and identify defects in collaboration with developers.

• Familiarity with cloud platforms (eg, Azure) for deploying and testing applications.
• Knowledge of containerization tools like Docker and orchestration systems like Kubernetes.
• Experience with performance monitoring tools (eg, New Relic, Dynatrace).
• Exposure to advanced scripting languages like Python or Java for test automation.
• Experience with Kafka for messaging systems and data validation