Senior Private Cloud AI Engineer - Staff Engineer
Hewlett Packard Enterprise (HPE) (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 40–75 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and enhance components of HPE's Private Cloud AI platform with a focus on Kubernetes-based services and cloud-native capabilities.
- Support integration and operationalization of AI workloads involving LLMs, RAG, model serving frameworks, and MLOps tools on enterprise infrastructure.
- Collaborate across compute, networking, storage, virtualization, and OS domains to deliver end-to-end platform solutions and drive deployment validation, troubleshooting, and infrastructure automation.
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, C++ and experience with Kubernetes, containerized environments, and Linux.
- Experience developing automation, scripts, APIs, and operational tooling; strong troubleshooting skills for distributed systems.
Ideal Candidate Profile
- Experienced engineer capable of working across multiple technical domains including infrastructure, platform engineering, and AI integration.
- Demonstrates expertise in Kubernetes and cloud-native architectures with the ability to influence technical roadmaps and architecture reviews.
- Skilled in integrating emerging AI technologies like Large Language Models and MLOps into enterprise-scale platforms with customer-facing operational responsibilities.