Cloud-Native QA Engineer

AI overview

Develop and execute comprehensive testing strategies for cloud-based applications using tools like Kubernetes and Docker, ensuring high standards of product quality.

Develop comprehensive End-to-End test plans and test cases for functional, system, and regression testing
Investigate, diagnose, and resolve robustness and reliability.
Review design specs and develop testing and automation strategies for product features
Set up cloud test environment in Kubernetes and execute test plans using both manual and/or automation
Generate and document test reports for every test cycle
Document and report bugs and steps to reproduce in a concise and effective way

Provide feedback for product documentation to ensure correctness and clarity

Requirements

2+ years of experience testing distributed applications in Cloud environment
Experience in testing and verification of enterprise-quality products.
knowledge of container orchestration/deployment/monitoring tools such as Docker, Kubernetes, Helm, Fluentd, Prometheus/Grafana, etc.
Experience in installing, configuring Kafka in an enterprise environment
Familiar with CI/CD pipelines, source control and build tools like GIT, Jenkins.
Experience in one or more scripting languages, preferably Python.
Good troubleshooting skills, team player with a “can do” attitude, and the flexibility to jump in wherever needed.
Knowledge of the Linux operating system
Knowledge of source control and bug tracking tools such as Jira.
BS/MS in Computer Science/Engineering (or equivalent)