Associate Quality Assurance Engineer
3 weeks ago
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).
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