Software Quality Engineer

Description

• Translate business requirements into comprehensive functional and technical test cases.
• Execute and maintain automated test suites for API and UI testing.
• Perform manual testing as needed to ensure full feature coverage.
• Estimate, prioritize, and plan testing activities within Agile sprints.
• Apply AI-driven test generation tools and autonomous agents to improve test coverage and efficiency.
• Develop, maintain, and execute automated test scripts.
• Implement and maintain AI-powered test agents for:
• Automated test creation
• Intelligent regression selection
• Automation script development
• Self-healing automation scripts
• Use tools such as Selenium, WebDriver, Postman, Visual Studio, SQL Management Studio, and MongoDB.
• Work with Linux, Docker containers, and AWS services (e.g., EC2, Lambda, RDS, S3, SQS, DynamoDB).
• Identify, isolate, document, and track defects through resolution.
• Generate test data to validate critical business logic.
• Troubleshoot complex issues and collaborate with developers on root-cause analysis.
• Replicate production defects in QA environments.
• Work closely with Product Owners to meet sprint goals and deadlines.
• Participate in daily standups, sprint planning, reviews, and retrospectives.
• Provide feedback on product quality, usability, and process improvements.
• Support deployment activities in QA and production environments using automation.

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 0–2 years of programming experience (Java or other languages).
• 0–2 years of experience in test automation.
• Exposure to AI concepts like prompt engineering or agentic AI, required
• Strong written and verbal communication skills.
• Ability to explain technical concepts clearly and concisely.
• Comfortable communicating in a multicultural work environment.
• Strong documentation skills with attention to grammar and detail.