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Remote, mid-level generalist DevOps role across multi-cloud increases candidate competition.
Core DevOps skills are transferable, though GPU/ML and enterprise-security requirements increase domain specificity.
Multiple mandatory skills (cloud, Kubernetes, Terraform, CI/CD) and explicit 3+ years requirement raise filtering strictness.
Design, build, and operate scalable cloud infrastructure and CI/CD pipelines across AWS, GCP, and Azure.
Own infrastructure automation with Infrastructure as Code (Terraform) and container orchestration using Docker and Kubernetes.
Manage GPU infrastructure for AI/ML workloads including deployment, monitoring, and ensuring reliability and cost efficiency.
3+ years of experience in DevOps, Cloud Infrastructure, or Site Reliability Engineering.
Hands-on experience with AWS, GCP, and/or Azure and strong knowledge of Docker and Kubernetes.
Experience building and managing CI/CD pipelines and proficiency with Infrastructure as Code tools such as Terraform.
Location: Remote position; preference for candidates open to hybrid work setup in Delhi.
Experienced in multi-cloud environments with ability to optimize for performance, scalability, and cost.
Familiar with managing production infrastructure with a focus on reliability and security, especially in regulated, document-heavy enterprise workflows.
Technical collaborator comfortable working with ML teams and handling GPU-enabled infrastructure deployments.