CareerPlanSign in

Cloud Engineer

Gurgaon, HR, in💼 Full-time🗓 2026-09-28

Core

Build and maintain cloud-native infrastructure, DevOps pipelines, and AI model deployment platforms to support scalable applications and AI/Agentic AI development.

Role type

Senior Cloud Engineer (DevOps & AI Infrastructure)

Builds

Cloud-based platform services, DevOps pipelines for AI model deployment, containerized environments, and scalable application infrastructure.

Domain

Public Cloud (AWS/Azure/GCP), AI Infrastructure, DevOps

Deliverable

production ML models

Required skills

AWS/Azure/GCP, Kubernetes, Docker, CI/CD pipeline development, Infrastructure as Code (IaC), Python scripting, Linux/Windows server administration, Networking, Security compliance

Preferred skills

Experience with Nvidia Nemo/NIM models, Junit/Jmeter/Jira integration, SVN/Git version control, Authentication/Authorization/Session management

Technologies

AWS, Azure, GCP, Kubernetes, Docker, Jenkins, Python, PowerShell, Bash, Linux, Windows, SVN, Git

Responsibilities

Develop and maintain IaC scripts for cloud resource deployment; Build Docker containerization pipelines for AI models; Evolve deployment methods for multi-environment delivery; Scale product deployment including authentication, authorization, and session management; Implement automation, monitoring, logging, and alerting solutions; Ensure cloud solutions adhere to security and compliance standards; Collaborate with AI and Product teams to optimize platform processes.

Seniority

Senior, hands-on IC

Sourced via smartrecruiters · Listed on CareerPlan, which tracks 847,000+ jobs from 20+ sources.