SDET Kubernetes Engineer

Infobeans; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Infobeans is seeking an experienced QA Engineer to design and run comprehensive test plans for Kubernetes-based systems, storage, backup, and operator capabilities. You will execute functional, integration, system, regression, upgrade, and scale testing, and drive defects to closure.

Ideal candidates have hands-on Kubernetes experience, Linux scripting skills, and programming or automation experience in Python or Go, with familiarity with CI/CD, Git, Docker, and Helm/OpenShift.

Qualifications

• Strong experience in software testing and defect life-cycle management.
• Hands-on experience with Kubernetes and containerized applications.
• Experience with Linux, shell scripting, and API/CLI-based testing.
• Programming or automation experience in Python, Go, or a similar language.

Responsibilities

• Design and execute test plans for Kubernetes, storage, backup, control-plane, and operator capabilities.
• Perform functional, integration, system, regression, upgrade, and scale testing.
• Validate release builds, investigate failures, and drive defects to closure.
• Automate repeatable test scenarios and improve test coverage and execution efficiency.
• Track test results, defects, dashboards, release readiness, and QE sign-offs.
• Collaborate with Engineering and DevOps to troubleshoot build, deployment, and environment issues.
• Contribute to risk assessment, release decisions, and continuous improvement of QA processes.

Skills

Testing

Kubernetes

Linux scripting

Python/Go

CI/CD

Debugging

Cloud platforms

CSI/OpenShift

Performance testing

Release management

Tools

Git

Docker

Helm

OpenShift

CI/CD tools

Job description

Role & responsibilities:

• Design and execute test plans for Kubernetes, storage, backup, control-plane, and operator capabilities.
• Perform functional, integration, system, regression, upgrade, and scale testing.
• Validate release builds, investigate failures, and drive defects to closure.
• Automate repeatable test scenarios and improve test coverage and execution efficiency.
• Track test results, defects, dashboards, release readiness, and QE sign-offs.
• Collaborate with Engineering and DevOps to troubleshoot build, deployment, and environment issues.
• Contribute to risk assessment, release decisions, and continuous improvement of QA processes.

Preferred candidate profile:

• Strong experience in software testing and defect life-cycle management.
• Hands-on experience with Kubernetes and containerized applications.
• Experience with Linux, shell scripting, and API/CLI-based testing.
• Programming or automation experience in Python, Go, or a similar language.
• Familiarity with CI/CD pipelines, Git, Docker, and test automation frameworks.
• Strong debugging, analytical, communication, and collaboration skills.
• Experience with cloud platforms, distributed systems, or cloud-native storage.
• Exposure to CSI, Kubernetes operators, Helm, or OpenShift.
• Experience with performance, scale, upgrade, and reliability testing.
• Familiarity with release management and QE approval processes.