We are seeking a Senior Cloud, MLOps & Platform Engineer to own the deployment, automation, monitoring, and operation of enterprise applications and AI platforms across cloud environments. The ideal candidate will be responsible for managing full-stack applications, cloud infrastructure, CI/CD pipelines, AI/ML workloads, and modern web applications while ensuring scalability, security, reliability, and cost efficiency.
Key Responsibilities
Deploy, manage, and monitor full-stack applications across cloud environments.
Build and maintain CI/CD pipelines for application and infrastructure deployments.
Design and manage containerized workloads using Docker, Kubernetes, and GitOps practices.
Provision and manage cloud infrastructure using Infrastructure as Code (IaC).
Manage development, testing, staging, UAT, and production environments.
Deploy, monitor, and support AI/ML workloads and inference services in production.
Develop, deploy, and maintain frontend applications and integrate them with backend APIs and authentication services.
Manage databases, cloud storage, backups,
disaster recovery, and data governance practices.
Implement monitoring, logging, security controls, secrets management, and operational best practices.
Configure and manage networking, reverse proxies, API gateways, and traffic routing.
Optimize cloud infrastructure, application performance, reliability, and operational costs.
Collaborate with engineering and AI teams to deliver scalable production solutions.
Required Skills
4–8 years of experience in Cloud Engineering, DevOps, Platform Engineering, MLOps, or Full-Stack Engineering.
Robust hands-on experience with AWS, Azure, or GCP.
Kubernetes, Docker, Helm, and container orchestration.
Terraform or similar Infrastructure as Code (IaC) tools.
Jenkins, GitHub Actions, GitLab CI/CD, or equivalent CI/CD platforms.
GitOps tools such as ArgoCD or FluxCD.
Python and Shell scripting.
Experience with React.js and TypeScript.
Experience integrating front
📌 Cloud Engineer (Gurugram)
🏢 EXL
📍 Gurugram