Platform AI Engineer

Overview

Platform AI Engineer role focused on building and evolving core platform components of a Kubernetes-based private cloud AI platform (HPE AI Essentials).

What you'll do

• Design, develop, and own core platform components for a Kubernetes-based private cloud AI platform.
• Translate feature specifications into robust designs, implementation plans, and production-ready code.
• Build and evolve backend services and controllers in Golang with focus on scalability, reliability, and security.
• Lead debugging and resolution of complex cross-layer issues across Kubernetes, CNI, CSI drivers, and external storage.
• Drive CI/CD best practices for deploying and managing cloud-native services.
• Serve as a technical reference point by providing code reviews and guidance.

What you'll need

• Bachelor’s degree (or higher) in Computer Science or a related field.
• 7+ years of professional experience in cloud or platform engineering roles.
• Hands-on prior working experience with Kubernetes and containerized systems, including CNI/CSI and PV/PVC lifecycle management.
• Advanced programming skills in Golang, Python, and shell scripting.
• Strong understanding of Linux, Storage, and security fundamentals.
• Hands-on experience with Git, GNU Make, and CI/CD pipelines.

Details

• Work mode: Onsite.
• Location: Bengaluru, Karnātaka, India.