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Tier-1 employer, metro location, mid-level generalist platform role with broad stack increases competition.
Specialized private-cloud platform skills and infra depth reduce cross-industry transferability.
Explicit 7+ years, Kubernetes/Golang, CSI/CNI and storage experience required.
Design, develop, and maintain core Kubernetes-based private cloud AI platform components focusing on scalability, reliability, and security.
Lead resolution of complex issues spanning applications, Kubernetes, CNI, CSI drivers, and external storage.
Drive CI/CD best practices and contribute to architectural decisions, supporting a hybrid team environment.
Bachelor’s degree or higher in Computer Science or related field.
7+ years professional experience in cloud or platform engineering roles.
Proficient in Kubernetes, containerized systems, CNI, CSI, PV/PVC lifecycle management, Linux, storage, and security fundamentals.
Advanced programming skills in Golang, Python, shell scripting; experience with Git, GNU Make, and CI/CD pipelines; role is onsite, primarily working from an HPE office.
Experienced senior-level engineer with deep expertise in Kubernetes ecosystem and cloud-native platform engineering.
Strong technical leadership demonstrated by mentoring teammates, performing code reviews, and participating in architectural discussions.
Comfortable working across the stack, integrating new technologies, and collaborating with product managers and a hybrid team setup.