Senior Private Cloud AI Engineer - Staff Engineer
Hewlett Packard Enterprise (HPE) (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 45–85 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and enhance components and automation of the HPE Private Cloud AI platform, focusing on Kubernetes-based cloud-native capabilities.
- Integrate and enable AI workloads including LLMs, RAG, model serving, and MLOps on enterprise infrastructure.
- Collaborate across infrastructure domains to deliver end-to-end private cloud AI solutions and resolve system-level issues affecting deployment and operations.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, Electrical Engineering, or related technical field.
- Minimum 10 years of applicable work experience in software, systems, platform, or infrastructure engineering.
- Proficiency in programming languages such as Python, Go, Java, or C++ and experience with Kubernetes and containerized/cloud-native architectures.
- Working knowledge of Linux and enterprise infrastructure technologies; strong troubleshooting skills across distributed systems.
Ideal Candidate Profile
- Experienced in developing and automating cloud-native platform services, especially Kubernetes-based environments for AI workloads.
- Demonstrated ability to integrate emerging AI technologies like Large Language Models and MLOps into private cloud infrastructure and operationalize them at scale.
- Proven track record collaborating across multiple technical domains to deliver complex cloud and AI-enabled enterprise platform solutions.