AI Infrastructure Engineer - GoLang, Kubernetes, Dockers, Linux - 8-12 years

About the role

Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise. If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure — we'd love to meet you.

What you'll do

• Design and implement control plane components using Golang AND Python
• Leverage Kubernetes (K8s) concepts, CRDs, and operator patterns (e.g., Kubebuilder) to build control plane services
• Develop scalable and highly available (HA) microservices that span across regions, ensuring reliability at scale
• Build and maintain GRPC, REST APIs, and CLI tools for seamless integration and control of AI infrastructure
• Address operational challenges of running applications as SaaS, focusing on ease of deployment and lifecycle management

What you need

• 8–12 yrs of experience
• Kubernetes
• Linux
• Python
• Helm
• Microservices
• CI/CD
• B.Tech or B.E.

Good to have

• C++
• gRPC
• REST APIs