About the Job :
The OpenShift engineering team is looking for a Senior Quality Engineer to be hired in Bangalore, India. In this role, you will work on the next evolution of the must-gather diagnostics tool — a core utility used to collect cluster logs and support data in OpenShift Container Platform. You'll be responsible for all aspects of quality for Red Hat OpenShift, including designing test plans, extending automation frameworks, and developing new automated tests for both back and front ends. You will make sure our solutions fulfill the highest possible enterprise quality, performance, usability, and supportability. As a Senior Quality Engineer, you will gain a deep technical understanding of a variety of popular technologies, including containers, Kubernetes, Red Hat OpenShift, etc.
What will you do?
Design, develop, and execute comprehensive test plans across various OpenShift environments, including large-scale clusters.
Conduct thorough performance and scale testing to identify bottlenecks and areas for optimization
Develop and maintain automated test scripts to improve testing efficiency and coverage for the related functionalities.
Analyze test results and performance data to identify trends, patterns, and areas for improvement
Conduct failure analysis, explore, identify and document new bugs, advocate for the resolution of bugs and communicate the impact on customers to developers and support;
Coordinate cross components teams to be responsible for bug verification, regression testing.
Work with the product release related teams to be responsible for the product delivery related testing;
What will you bring?
Bachelor’s degree in Computer Science or related field, or equivalent experience.
5+ years of experience in software quality engineering or related roles.
Strong understanding of Kubernetes and OpenShift architectures.
Experience with performance testing and analysis.
Proficiency in scripting and automation using languages such as Python, Go, Bash, etc.
Experience with debugging and troubleshooting complex software issues.
Familiarity with diagnostic and log collection tools.
Knowledge of AI/ML concepts and their potential application to system diagnostics.
Understanding of customer support workflows and requirements.
Experience with testing in large-scale distributed environments.
The following are considered a plus:
Knowledge of Amazon Web Services (AWS) EC2, Google Compute Engine (GCE), or Microsoft Azure
Knowledge of Linux containers, Kubernetes, Red Hat OpenStack Platform, or Red Hat OpenShift
Knowledge of CI/CD and Jenkins
Knowledge of security testing
Contributions to open source projects or publicly available code samples Design, develop and maintain automation frameworks and scripts with Ruby, Golang and Python for OpenShift testing and implementation
Participate in the test planning and product planning processes
Conduct new feature research and design test cases
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