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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate scalable multi-cloud infrastructure (AWS, GCP, Azure) focusing on reliability, scalability, performance, and cost optimization.
Own and manage end-to-end CI/CD pipelines and Infrastructure as Code deployments using Terraform, Docker, and Kubernetes.
Support GPU-enabled AI model workloads and maintain monitoring, logging, and alerting systems for enterprise deployments with strong security needs.
Minimum Requirements
3+ years of experience in DevOps, Cloud Infrastructure, or Site Reliability Engineering.
Hands-on experience with AWS, GCP, and/or Azure cloud platforms.
Strong knowledge of Docker, Kubernetes, CI/CD pipeline management, and Infrastructure as Code tools like Terraform.
Location: Remote with preference for candidates open to hybrid work setup in Delhi; Excellent English communication skills.
Ideal Candidate Profile
Experienced in managing multi-cloud infrastructure operations with strong emphasis on reliability and scalability for enterprise-grade workloads.
Familiar with deploying and operating GPU-enabled AI/ML workloads collaborating closely with ML teams.
Comfortable working remotely or in hybrid settings, capable of handling security and audit-focused private VPC deployments in regulated environments.