Senior Infrastructure - Platform Engineer

Hiring for Senior Infrastructure Engineer / Platform Engineer AI Platforms & GPU Infrastructure
Location: Bangalore
Job Summary:
We are looking for a hands-on Infrastructure Engineer / Platform Engineer with 8+ years of experience building and operating cloud-native platforms for Agentic AI workloads. The ideal candidate should have deep expertise in Kubernetes, Terraform, CI/CD, Infrastructure as Code, Multi-Cloud environments, and proven experience deploying Generative AI, Agentic AI, and LLM workloads on GPU infrastructure. Experience supporting production-scale AI platforms, model serving, and MLOps is essential.
Key Responsibilities:
Design, build, and operate scalable Kubernetes platforms for AI/ML and GenAI workloads.
Automate cloud infrastructure provisioning using Terraform and Infrastructure as Code.
Build and maintain CI/CD pipelines and GitOps deployment frameworks.
Deploy and manage GPU-enabled infrastructure supporting model training and inference.
Support Large Language Models (LLMs), RAG pipelines, and Agentic AI applications in production.
Build scalable AI serving platforms using Kubernetes-based model serving frameworks.
Implement monitoring, observability, security, and platform reliability best practices.
Partner with AI/ML engineers and data scientists to accelerate AI adoption.
Drive platform automation and self-service capabilities across cloud environments.
Required Skills:
8+ years of experience in Platform Engineering
Strong hands-on experience with Kubernetes in large-scale production environments.
Expertise in Terraform and Infrastructure as Code (IaC).
Strong experience with CI/CD, GitOps, and automation.
Experience across AWS, Azure, and/or GCP environments.
Strong Linux administration and troubleshooting skills.
Proficiency in Python and/or Go.
Mandatory Experience:
Hands-on experience deploying AI/ML, Generative AI, or Agentic AI solutions in production.
Experience deploying and scaling LLM workloads.
Strong experience with GPU infrastructure including NVIDIA GPUs, CUDA, GPU Operators, and model optimization.
Experience with AI model serving platforms such as Triton Inference Server, KServe, Ray Serve, or similar.
Experience building RAG pipelines and AI platforms.
Experience with vector databases and AI orchestration frameworks.
Interested candidates can share their profiles on AnjaliHB@norwintechnologies.com.

Work arrangement
No