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Tier-1 employer, metro Bengaluru, and broad mid-senior platform skillset increase competition.
Highly specialized cloud-platform, Kubernetes, Golang, storage and GPU expertise reduces cross-industry transferability.
Explicit 7+ years plus mandatory Kubernetes, Golang, storage and CI/CD skills make screening highly stringent.
Design, develop, and own core platform components of a Kubernetes-based private cloud AI platform, focusing on scalability, reliability, and security.
Lead debugging and resolution of complex issues across applications, Kubernetes, network plugins, storage drivers, and external storage systems.
Drive CI/CD best practices and contribute to architecture decisions, mentoring less experienced team members, and collaborating with product managers in a hybrid team environment.
Bachelor’s degree in Computer Science or related field.
7+ years professional experience in cloud or platform engineering roles.
Hands-on experience with Kubernetes, containerized systems, CNI, CSI, PV/PVC lifecycle management, and infrastructure layers including Linux, GPU, storage, and networking.
Advanced programming skills in Golang, Python, and shell scripting; experience with Git, GNU Make, and CI/CD pipelines; primarily onsite work at HPE office.
Experienced in cloud platform engineering with deep expertise in Kubernetes ecosystem components and infrastructure layers.
Proficient in backend service development in Golang with strong Linux, storage, and security knowledge and a track record of solving complex, cross-layer technical problems.
Demonstrates leadership in technical mentoring, code reviews, architectural contributions, and collaboration in hybrid team settings.