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HPC SW Cloud QA Engineer role focused on designing, implementing, and maintaining HPC CSM manageability platform hosted on kubernetes infrastructure. The position requires expertise in cloud native technologies, particularly Kubernetes, along with strong background in automation, and DevOps practices.
Job Responsibility:
Design, implement, and execute comprehensive test plans for the CSM platform
Develop automated test suites using Python, Bash, and CI/CD frameworks
Integrate automated testing into the development pipeline
Identify, document, and track defects
Provide clear, reproducible test cases and logs
Perform stress testing and scale testing on large HPC clusters
Monitor and analyze system metrics to assess stability under load
Requirements:
Strong understanding of Linux (RHEL, SLES, Ubuntu) system administration
Experience with Kubernetes, containers (Docker/Podman), and networking fundamentals
Proficiency in scripting languages (Python, Bash) for automation
Familiarity with HPC architectures, job schedulers (Slurm, PBS Pro), and workload management concepts
Experience with test automation frameworks (e.g., pytest, Robot Framework, Jenkins CI/CD)
Hands-on experience in system-level testing, API testing, and performance validation
Familiarity with Git, Jira, Confluence, and defect tracking workflows
Experience with monitoring and log analysis tools (Grafana, Prometheus, ELK stack) is a plus
Good understanding of security on Cloud Native applications
Nice to have:
Experience with monitoring and log analysis tools (Grafana, Prometheus, ELK stack)
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