Platform AI Engineer
Hewlett Packard Enterprise (HPE) (company site, opens in a new tab)7+ yrsBengaluruOn-siteDirect career pageEst. 25–45 LPA
Posted on 7 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own design, development, and maintenance of core Kubernetes-based private cloud AI platform components.
- Build and enhance backend services and controllers using Golang, ensuring scalability, reliability, and security.
- Lead debugging of complex issues across application, Kubernetes, CNI, CSI Drivers, and External Storage layers; drive CI/CD best practices and provide technical mentorship.
Minimum Requirements
- Bachelor's degree in Computer Science or related field.
- 7+ years of professional experience in cloud or platform engineering roles.
- Experience with Kubernetes, containerized systems, CNI, CSI, PV/PVC lifecycle management, Linux infrastructure layers, and programming in Golang, Python, shell scripting.
- Work primarily onsite at HPE office (Onsite role).
Ideal Candidate Profile
- Experienced in designing, building, and supporting scalable cloud-native platforms with deep Kubernetes and infrastructure knowledge.
- Strong backend developer with expertise in Golang and experience integrating multiple cloud-native ecosystem components.
- Demonstrated ability to troubleshoot complex multi-layer platform issues and contribute to architecture and CI/CD methodology in hybrid team environments.