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 of HPE's Private Cloud AI platform including Kubernetes-based services and automation tooling.
- Integrate AI technologies such as Large Language Models, RAG, model serving frameworks, and MLOps into the cloud platform and support their operationalization.
- Collaborate with cross-domain teams to deliver end-to-end infrastructure solutions, troubleshoot system-level issues, and support customer adoption and feedback loops.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, Electrical Engineering, or related technical field.
- Minimum of 10 years of applicable work experience in software engineering, systems engineering, platform engineering, or infrastructure engineering.
- Proficiency in programming languages like Python, Go, Java, or C++ and experience with Kubernetes, containerized environments, and Linux.
- Work from an HPE office 2 days per week (Hybrid work model).
Ideal Candidate Profile
- Experienced senior platform engineer comfortable with cross-domain collaboration and enhancing large-scale enterprise AI cloud platforms.
- Strong background in automation, Kubernetes, Linux, AI/ML operationalization including LLMs and MLOps technology integration.
- Capable of translating customer deployment feedback into actionable engineering improvements and contributing to technical architecture and roadmap discussions.