2+ Infrastructure Jobs in Ahmedabad | Infrastructure Job openings in Ahmedabad

Job Title:

DevOps / MLOps Engineer – GCP, Kubernetes, GPU Workloads, Python

Job Description

We are looking for an MLOps Engineer with 4–7 years of experience in cloud infrastructure, web application development, and ML pipeline deployment. The ideal candidate will manage GPU workloads on Kubernetes (GKE/EKS), optimize ML infrastructure, and handle scalable web applications in cloud environments.

Responsibilities:

• Develop and maintain web apps using Python, TypeScript, and Node.js.
• Manage DevOps pipelines and production infrastructure on GCP, including Terraform, Kubernetes, and cloud storage.
• Deploy, scale, and monitor ML models (vLLM, Triton, TensorRT-LLM) on multi-GPU instances.
• Optimize GPU resources, container GPU passthrough, autoscaling, and cost efficiency.
• Write and run tests for application and infrastructure code.
• Collaborate effectively using online communication tools (Slack, Teams, Zoom).
• Utilize AI coding copilots and productivity tools to accelerate development.

Requirements:

• 4–7 years experience in cloud infrastructure and DevOps/MLOps roles.
• Strong skills in Python, TypeScript, Node.js, and Kubernetes (GKE/EKS).
• Experience with GPU workloads, Terraform, SaaS environments, and Linux administration.
• Knowledge of ML model deployment, CUDA/NCCL debugging, and GPU optimization.
• Conversational English (written, verbal, listening).

Required - CI/CD, Node.js, TypeScript, CUDA, NCCL, GPU optimization, ML model deployment, Infrastructure as Code, Cloud infrastructure, and AI coding copilots.

Job Types: Full-time, Permanent

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.

Job Description :

• Extensive exp. with K8s (EKS/GKE) and k8s eco-system tooling e,g., Prometheus, ArgoCD, Grafana, Istio etc.
• Extensive AWS/GCP Core Infrastructure skills
• Infrastructure/ IAC Automation, Integration - Terraform
• Kubernetes resources engineering and management
• Experience with DevOps tools, CICD pipelines and release management
• Good at creating documentation(runbooks, design documents, implementation plans )

Linux Experience :

1. Namespace
2. Virtualization
3. Containers

Networking Experience

1. Virtual networking
2. Overlay networks
3. Vxlans, GRE

Kubernetes Experience :

Should have experience in bringing up the Kubernetes cluster manually without using kubeadm tool.

Observability                              

Experience in observability is a plus

Cloud automation :

Familiarity with cloud platforms exclusively AWS, DevOps tools like Jenkins, terraform etc.