Jayesh Garg

About Jayesh Garg

A passionate and performance-driven Software Quality Engineer at RedHat with over 6 years of rich experience in delivering high-quality, scalable, and reliable software systems through automation, manual testing, and DevOps practices. I bring a strong foundation in both functional and non-functional testing, with proven expertise in- Automation & Scripting: Selenium, Python, Shell – building reusable, maintainable automation frameworks- CI/CD & DevOps: Jenkins, OpenShift – integrating QA into pipelines for faster, reliable releases- Test Reporting & Management: ReportPortal, Polarion, Jira – ensuring complete traceability and visibility- Cloud Technologies: AWS, Azure – validating applications in cloud-native environments- Agile Methodologies: Seamlessly collaborating with developers, product managers, and DevOps teams to embed quality early in the SDLCI’m known for my attention to detail, strong debugging skills, and proactive communication, which have consistently helped reduce production issues, improve release velocity, and enhance user satisfaction. Currently focused on enhancing my cloud, containerisation, and API testing skills to stay ahead in modern DevOps and shift-left testing practices.Open to exciting opportunities where I can lead, innovate, and build a quality-first culture into the software development lifecycle. Let’s connect and explore how I can help your team deliver software faster—with confidence and quality.

Experience

1. Software Quality Engineer

   Red Hat

   Jul 2021 — Present · Bengaluru, IN

   Developed and maintained 150+ unit tests to validate code quality and enforce best practices, improving code maintainability and reducing regression defects by 30% across releases.•Designed detailed test plans, test cases, and automation scripts for AI chatbot model training, increasing model accuracy and reducing manual validation effort by 40%.•Contributed to end-to-end development and functional testing of the Red Hat Certification Tool, improving certification validation speed by 25% and ensuring compliance with industry standards.•Built and integrated chatbot-based CI/CD pipeline notifications for Slack and Google Chat, reducing pipeline monitoring time by 60% and enabling real-time deployment visibility for engineering teams.•Led testing and automation for the OpenShift Pipelines Operator, enhancing automation coverage by 45%, validating new features, and ensuring release readiness for multiple operator versions.•Collaborated with cross-functional engineering teams to improve defect triage efficiency, reducing critical issue resolution time by 20%.

Education

• Acropolis Group of Institutions

  Bachelor of Engineering - BE, Computer Science

  2015 — 2019