# Senior Private Cloud AI Engineer - Staff Engineer **Company**: Hewlett Packard Enterprise **Location**: Bengaluru, Karnātaka **Work arrangement**: hybrid **Experience**: staff **Job type**: full-time **Category**: Engineering **Industry**: Technology **Apply**: https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Bengaluru-Karntaka-India/Senior-Private-Cloud-AI-Engineer---Staff-Engineer_1214793-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_f055588b-f63 ## Description Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. As a Senior Private Cloud AI Engineer - Staff Engineer, you will work on the Hybrid Cloud team, leading the innovation agenda and technology roadmap for all of HPE. Your primary focus will be designing, developing, and enhancing components of the HPE Private Cloud AI platform. **Key Responsibilities** **Platform Engineering & Development** - Design, develop, and enhance components of the HPE Private Cloud AI platform. - Build automation, tooling, APIs, and workflows that improve deployment, operations, monitoring, and lifecycle management. - Contribute to Kubernetes-based platform services and cloud-native capabilities. - Participate in architecture reviews, design discussions, and technical roadmap planning. **AI Platform Enablement** - Support integration of AI technologies into the platform. - Enable workloads leveraging Large Language Models (LLMs), Retrieval Augmented Generation (RAG), model serving frameworks, and MLOps tools. - Evaluate and integrate emerging AI technologies, frameworks, and development tools. - Assist in testing, validating, and operationalizing AI workloads on enterprise infrastructure. **Infrastructure & Systems Integration** - Collaborate across compute, networking, storage, virtualization, and operating system domains to deliver end-to-end solutions. - Assist with platform integration, deployment validation, performance tuning, and troubleshooting. - Identify and resolve system-level issues spanning hardware, infrastructure, platform software, and applications. - Contribute to infrastructure automation and operational efficiency initiatives. **Customer & Solution Engineering** - Partner with product management, support, field engineering, and customer teams to address real-world deployment challenges. - Investigate customer-reported issues, identify root causes, and drive resolution across engineering teams. - Support proof-of-concepts, reference architectures, and customer adoption initiatives. - Translate customer feedback into actionable product and engineering improvements. **Continuous Improvement & Innovation** - Identify opportunities to simplify deployment, improve reliability, and enhance customer experience. - Participate in performance, scalability, reliability, and operational readiness activities. - Contribute to documentation, best practices, and knowledge sharing across the organization. - Stay current on cloud, infrastructure, AI, and automation technologies relevant to HPE's AI strategy. **What you need to bring:** **Education and Experience Required:** - Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, Electrical Engineering, or a related technical field. - Minimum of 10 years of applicable work experience. **Required Qualifications** - Experience in software engineering, systems engineering, platform engineering, infrastructure engineering, or a related technical discipline. - Proficiency in one or more programming languages such as Python, Go, Java, C++, or similar. - Experience developing automation, scripts, APIs, or operational tooling. - Experience with Kubernetes, containerized environments, and cloud-native architectures. - Working knowledge of Linux operating systems and enterprise infrastructure technologies. - Strong troubleshooting and debugging skills across distributed systems. - Ability to work effectively across multiple technical domains and engineering organizations. - Strong communication and collaboration skills. **Preferred Qualifications** - Experience with infrastructure automation tools such as Ansible, Terraform, Helm, or related technologies. - Familiarity with public or private cloud platforms and virtualization technologies. - Experience supporting large-scale enterprise platforms or distributed systems. - Exposure to AI/ML development frameworks and workflows. - Familiarity with Large Language Models (LLMs), RAG architectures, vector databases, model deployment, or MLOps technologies. - Experience troubleshooting production systems and customer-facing environments. - Knowledge of GPU-accelerated computing, high-performance networking, or AI infrastructure. **Benefits** - Comprehensive suite of benefits that supports physical, financial, and emotional wellbeing. - Investment in your career through specific programs catered to helping you reach your career goals. - Unconditionally inclusive work environment that celebrates individual uniqueness. ## Skills ### Required - Python - Go - Java - C++ - Kubernetes - Linux - cloud-native architectures - automation - scripts - APIs - operational tooling - troubleshooting - debugging - communication - collaboration ### Nice to have - Ansible - Terraform - Helm - public or private cloud platforms - virtualization technologies - large-scale enterprise platforms - distributed systems - AI/ML development frameworks - Large Language Models (LLMs) - RAG architectures - vector databases - model deployment - MLOps technologies - GPU-accelerated computing - high-performance networking - AI infrastructure --- Source: [Apply at hpe.wd5.myworkdayjobs.com](https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Bengaluru-Karntaka-India/Senior-Private-Cloud-AI-Engineer---Staff-Engineer_1214793-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)