Job Summary

We are seeking a highly skilled QA Engineer with strong technical expertise in API testing, test automation, and database validation. The ideal candidate should go beyond manual testing, applying analytical and problem-solving skills to ensure end-to-end product quality. This role requires close collaboration with developers, product managers, and other stakeholders to deliver reliable and high-performing software solutions.

Key Responsibilities

• Design, develop, and maintain automated test scripts for web, API, and backend services.
• Perform API testing using tools like Postman, RestAssured, or similar frameworks.
• Conduct database validation (SQL/NoSQL) to ensure data integrity and accuracy.
• Execute manual and automated test cases to validate product functionality and performance.
• Collaborate with cross-functional teams to identify, document, and track defects through resolution.
• Participate in code reviews, sprint planning, and release cycles to ensure quality standards are met.
• Implement and improve QA processes, frameworks, and best practices for continuous improvement.
• Provide clear, concise test documentation, including test plans, test cases, and reports.

Qualifications & Skills

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience as a QA Engineer or Software Tester.
• Strong expertise in API testing (REST/SOAP) with tools such as Postman, RestAssured, or similar.
• Hands-on experience with test automation frameworks (e.g., Selenium, Cypress, Playwright, JUnit, TestNG).
• Proficiency in SQL and database validation (MySQL, PostgreSQL, or MongoDB).
• Solid understanding of SDLC, STLC, Agile methodologies, and CI/CD pipelines.
• Experience with bug tracking tools (e.g., Jira, Azure DevOps) and version control (Git).
• Strong problem-solving, debugging, and analytical skills.
• Excellent communication and collaboration skills.

Nice to Have

• Experience with performance testing (e.g., JMeter, Gatling).
• Knowledge of cloud platforms (AWS, Azure, or GCP).
• Familiarity with containerization tools like Docker and orchestration systems like Kubernetes.
  

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