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 suchas 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 timelyfixes.
CI / CD Integration : Contribute to test automation within pipelines using Jenkins and GitHubActions.
Documentation & Reporting : Maintain clear test documentation and share QA metrics withstakeholders.
Collaboration : Work with cross-functional and global teams across time zones, supportingagile ceremonies and reviews.
Continuous Improvement : Stay updated with the latest QA tools, frameworks, andpractices; recommend improvements to enhance software quality.
Required Skills & Qualifications :
Education : Bachelor’s or Master’s in Computer Science or related field from a reputedinstitution.
Experience : Minimum 2-3 years of professional experience in Java or .NET development.Programming : Strong expertise in Java or .NET; familiarity with other languages likePython, 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 / CDpipelines.
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).