Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Architect, build, and operate enterprise-scale AI platforms across Azure and GCP multi-cloud environments.
Deploy and manage Kubernetes/OpenShift clusters supporting production AI/LLM workloads, including GPU infrastructure optimization.
Develop and automate platform provisioning (IaC with Terraform, CI/CD), API integrations, security frameworks, observability, and ensure platform reliability and governance.
Minimum Requirements
Strong experience with cloud platforms: Azure and Google Cloud Platform (GCP).
Proficiency in Kubernetes/OpenShift container orchestration and GPU infrastructure management.
Experience in Infrastructure as Code (Terraform) and DevSecOps automation via CI/CD pipelines.
Work Experience Required: Not explicitly mentioned in the JD; Location: Bangalore, Karnataka, India.
Ideal Candidate Profile
Technically advanced platform engineer with proven expertise in AI/LLM model serving and enterprise-grade AI platform operations.
Experienced in building secure, scalable, and automated cloud native AI platform services with API engineering skills (Python, REST).
Able to collaborate cross-functionally with Data Science, Security, and Operations teams to drive platform reliability and operational excellence.