About the Position We are seeking a detail-oriented and motivated Software QA Engineer with 2–3 years of hands-on experience in test automation and quality assurance. The ideal candidate will have strong expertise in testing frameworks, APIs, and agile practices, and will play a critical role in ensuring the quality and reliability of our applications in the genomics and bioinformatics domain. Key Responsibilities: ● Test Planning & Execution: Design, develop, and execute test cases (manual and automated) to validate software functionality. ● Automation Development: Build and maintain automation scripts using frameworks such as JUnit, TestNG, Selenium WebDriver, Playwright, AND Puppeteer. ● Coding: Comfortable in writing coding questions that involve string manipulation (e.g., reversing strings, pattern matching, or parsing text) ● API & Protocol Testing: Test and validate REST APIs and applications over HTTP protocol. ● Defect Tracking: Identify, log, and track bugs; collaborate with developers to ensure timely fixes. ● CI/CD Integration: Contribute to test automation within pipelines using Jenkins and GitHub Actions. ● Documentation & Reporting: Maintain clear test documentation and share QA metrics with stakeholders. ● Collaboration: Work with cross-functional and global teams across time zones, supporting agile ceremonies and reviews. ● Continuous Improvement: Stay updated with the latest QA tools, frameworks, and practices; recommend improvements to enhance software quality. Required Skills & Qualifications: ● Education: Bachelor’s or Master’s in Computer Science or related field from a reputed institution. ● Experience: Minimum 2-3 years of professional experience in Java or .NET development. ● Programming: Strong expertise in Java or .NET; familiarity with other languages like Python, GoLang, or C++ is a plus. Should be able to write or execute test scripts using any programming language ● Frameworks: Experience with Spring Boot or equivalent .NET frameworks. ● Databases: Strong experience with Snowflake and Elasticsearch. ● Cloud & DevOps: Familiarity with AWS, Azure, or Google Cloud; experience with CI/CD pipelines. ● Version Control: Proficient in Git; comfortable using GitHub/GitLab. ● Soft Skills: Strong communication, collaboration, and time management skills. Preferred Qualifications: ● Experience in NGS software and/or bioinformatics applications. ● Exposure to cloud platforms (AWS, Azure, GCP). ● Familiarity with containerization and orchestration tools (Docker, Kubernetes).
Job Title
Associate Quality Assurance Engineer