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Software Engineer role in HPE Hybrid Cloud team focusing on innovation agenda and technology roadmap for HPE's next-generation cloud platform, Green Lake. The position involves designing, implementing, and executing system test plans for data storage product offerings and working with customers to reimagine their information technology needs.
Job Responsibility:
Design, implement, and execute system test plans for data storage product offerings
Develop, enhance, and maintain automated test frameworks (Python, YAML-based workflows, CI/CD pipelines)
Conduct system-level validation across backend services, compatible APIs, RDMA, and AI/ML workloads
Analyze test results, debug failures, and drive issues to resolution
Contribute to systemic stability, resiliency, and performance testing at scale
Influence product quality by identifying test coverage gaps, raising defects, and ensuring comprehensive end-to-end validation
Support lab environments, including testbed configuration, resource orchestration, and integration of third-party workloads/tools (Vdbench, MLPerf, etc.)
Document test strategies, workflows, and results
provide clear recommendations to engineering and leadership
Requirements:
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent
2–4 years of software development or test automation experience
Solid understanding of system testing, distributed systems, or cloud-native environments
Proficiency in Python or similar programming languages for automation
Experience with cloud, storage, or networking technologies (File and Object Storage, Kubernetes, RDMA, etc.)
Strong debugging and problem-solving skills in complex system environments
Familiarity with CI/CD tools and test management platforms (e.g., TestRail, Jira)
Ability to collaborate across teams and communicate technical findings clearly
Nice to have:
Enthusiasm for learning new technologies and contributing to enterprise-quality solutions
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