PCAI And AI Factory This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office Who We Are 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 Our culture thrives on finding new and better ways to accelerate what s next We know varied backgrounds are valued and succeed here We have the flexibility to manage our work and personal needs We make bold moves together and are a force for good If you are looking to stretch and grow your career our culture will embrace you Open up opportunities with HPE HPE Operations is our innovative IT services organization It provides the expertise to advise integrate and accelerate our customers outcomes from their digital transformation Our teams collaborate to transform insight into innovation In today s fast paced hybrid IT world being at business speed means overcoming IT complexity to match the speed of actions to the speed of opportunities Deploy the right technology to respond quickly to market possibilities Join us and redefine what s next for you What you ll do We are seeking a Subject Matter Expert SME - Admin Operate Manage HPE PCAI AI Factory Solutions to manage and optimize HPE s next-generation AI infrastructure platforms The ideal candidate will have deep hands-on expertise in AI HPC and GPU-accelerated environments with strong knowledge of HPE Ezmeral NVIDIA AI Enterprise Containerized workloads and Automation frameworks This role focuses on the operational stability lifecycle management and continuous improvement of large-scale Private Cloud for AI PCAI and AI Factory deployments Key Responsibilities 1 Platform Administration o Administer and maintain HPE PCAI and AI Factory environments ensuring optimal uptime and performance Manage compute nodes HPE DL380a DL325 Cray XD670 GPU clusters NVIDIA L40S H100 H200 and InfiniBand NDR networks Administer virtualization and container platforms such as vSphere RHEL RHOS Ezmeral Runtime Enterprise Kubernetes and Rancher Harvester Perform configuration patching version upgrades and firmware updates across hardware and software layers 2 Operational Monitoring Incident Management o Proactively monitor system health using DCGM NetQ Grafana and Exivity dashboards o Handle alerts performance anomalies and incidents across GPU network and storage layers Lead root cause analysis RCA and corrective action plans to prevent recurring issues Maintain operational documentation runbooks and incident logs 3 Lifecycle Configuration Management Manage cluster lifecycle through Ansible AWX HPE Performance Cluster Manager HPCM and SLURM Oversee automation for provisioning scaling and patch management of Compute and Containerized workloads Manage configuration changes infrastructure templates and version baselines in production and staging environments 4 AI Platform Software Operations Operate HPE Ezmeral Unified Analytics Data Fabric and AI Essentials platforms Support NVIDIA AI Enterprise NVAIE components including NIMs NeMO frameworks and RAPIDS runtime Manage and monitor AI ML workloads LLM NLP Computer Vision Chatbots on containerized clusters Ensure smooth operation of development tools like Jupyter Spark Airflow MLflow Kubeflow and Ray 5 Storage Data Operations Administer VAST WEKA and Alletra MP storage solutions for file object and distributed storage Monitor storage performance replication and capacity utilization Coordinate with storage engineering teams for performance optimization and capacity planning 6 Security IAM Compliance Implement and maintain Keycloak for authentication and role-based access control Ensure adherence to compliance audit and governance standards for AI workloads Support user and service account provisioning credential management and access reviews 7 Continuous Improvement Knowledge Enablement Optimize automation workflows to reduce manual intervention and improve service response time Drive service health reviews operational dashboards and SLA compliance reporting Conduct enablement sessions for L1 L2 teams and act as the final escalation point for operational issues Collaborate with HPE Engineering for patch validation release readiness and operational feedback Required Skills Technical Expertise Core Infrastructure Skills Administration of HPE DL380a DL325 Cray XD670 and GPU-based Compute environments Strong knowledge of NVIDIA GPU stack InfiniBand NDR and Spectrum-X switches Experience in managing VAST WEKA or Alletra MP storage systems Software Platform Operations Virtualization vSphere RHEL Ezmeral Runtime Enterprise o Containers Kubernetes Rancher Harvester KubeSphere Morpheus o Automation Ansible AWX NetBox HPCM SLURM Observability Grafana NetQ Exivity DCGM Security Keycloak IAM integrations AI ML Platform Administration Experience in HPE Ezmeral Unified Analytics and Data Fabric operations o Familiarity with NVIDIA AI Enterprise NIMs NeMO and Triton Inference Server o Working knowledge of TensorFlow PyTorch Spark Kubeflow MLflow and Jupyter Preferred Certifications o HPE ASE Master ASE Compute Storage or Ezmeral NVIDIA Certified Qualified NVAIE Certification RHCE Kubernetes Administrator CKA VMware VCP Soft Skills Strong analytical and troubleshooting capabilities Excellent communication and collaboration skills across global teams Ability to lead operations improvement initiatives and mentor support engineers Focused on reliability scalability and service excellence For Internal Job Movement Approval of the employee s current manager is required Employees are expected to notify their manager prior to an interview Employees in Performance Improvement Plan are not eligible to apply Minimum level should be EXP if applying as part of Internal Job Posting Why Join Us Work on next-generation AI infrastructure operations and automation o Be part of a global team managing HPE s AI Factory and PCAI platforms supporting large-scale AI workloads Opportunity to contribute to service innovation and continuous improvement initiatives in AI infrastructure management What you need to bring Bachelor s Master s Degree in Computer Science IT or equivalent field 8 years of IT infrastructure administration experience including 3 years in AI HPC or GPUbased environments Proven experience in platform operations monitoring and lifecycle management of enterprise-grade AI and HPC environments Hands-on experience in automation and orchestration across bare metal and containerized infrastructure Additional Skills Accountability Accountability Action Planning Active Learning Active Listening Bias Business Growth Business Planning Coaching Commercial Acumen Creativity Critical Thinking Cross-Functional Teamwork Customer Experience Strategy Customer Solutions Data Analysis Management Data Collection Management Inactive Data Controls Design Thinking Empathy Follow-Through Growth Mindset Intellectual Curiosity Inactive Long Term Planning Managing Ambiguity 5 more What We Can Offer You Health Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical financial and emotional wellbeing Personal Professional Development We also invest in your career because the better you are the better we all are We have specific programs catered to helping you reach any career goals you have whether you want to become a knowledge expert in your field or apply your skills to another division Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness We know varied backgrounds are valued and succeed here We have the flexibility to manage our work and personal needs We make bold moves together and are a force for good Let s Stay Connected Follow HPECareers on Instagram to see the latest on people culture and tech at HPE india operationsJob ServicesJob Level Expert HPE is an Equal Employment Opportunity Veterans Disabled LGBT employer We do not discriminate on the basis of race gender or any other protected category and all decisions we make are made on the basis of qualifications merit and business need Our goal is to be one global team that is representative of our customers in an inclusive environment where we can continue to innovate and grow together Please click here Equal Employment Opportunity Hewlett Packard Enterprise is EEO Protected Veteran Individual with Disabilities HPE will comply with all applicable laws related to employer use of arrest and conviction records including laws requiring employers to consider for employment qualified applicants with criminal histories No Fees Notice Recruitment Fraud Disclaimer It has come to HPE s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates These scammers often seek to obtain personal information or money from candidates Please note that Hewlett Packard Enterprise HPE its direct and indirect subsidiaries and affiliated companies and its authorized recruitment agencies vendors will never charge any candidate a registration fee hiring fee or any other fee in connection with its recruitment and hiring process The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification Any candidate individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk and HPE disclaims liability for any damages or claims that may result from any such communication

📌 Pcai And Ai Factory (Karnataka)
🏢 Hewlett Packard Enterprise | HPE
📍 Karnataka