HPE PCAI Engineer

Experience: 7+ years

Location: Bengaluru

Job Summary:

We are looking for an experienced HPE PCAI Engineer with solid expertise in DevOps, cloud infrastructure, and application development. The candidate will be responsible for managing, deploying, and maintaining HPE Private Cloud AI environments and supporting AI workloads.

Key Skills:
7+ years of experience in DevOps, cloud infrastructure, or software development.
Hands-on experience with HPE Private Cloud AI (PCAI).
Solid knowledge of Linux, Kubernetes, Docker, and container orchestration.
Experience with AWS / Azure and infrastructure automation.
CI/CD pipelines, Git, and DevOps tools.
Python / Node.js development and API integration.
Experience deploying and managing AI/ML workloads.
Monitoring, troubleshooting,



and performance optimization.

Responsibilities:
Design, deploy, and manage HPE PCAI infrastructure.
Configure and maintain Kubernetes clusters and AI workloads.
Implement CI/CD pipelines and deployment automation.
Support AI/ML model deployment and application integration.
Monitor system performance, troubleshoot issues, and ensure infrastructure reliability.
Collaborate with development, data science, and infrastructure teams.

Preferred: HPE PCAI certification or relevant experience with HPE AI infrastructure solutions. Contract to hire option post 6 months

📌 Hpe Pcai Engineer Contract For 6 Months 7 Years Exp And Above Karnataka
🏢 Magneton Technologies
📍 Karnataka