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Tier-1 brand, metro Bangalore location, mid-level generalist platform role drive high competition.
Specialized AI/LLM GPU platform and SRE expertise creates high background sensitivity.
Explicit 5–8 years plus mandatory Kubernetes, Terraform, Azure, GPU and security requirements create high strictness.
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Lead design, implementation, and operation of scalable AI/LLM infrastructure platforms for enterprise clients.
Own end-to-end infrastructure architecture including Kubernetes environments, GPU provisioning, CI/CD pipelines, observability, and security processes.
Act as hands-on technical lead managing multiple projects and client engagements, driving Infrastructure-as-Code adoption and incident response.
5–8 years of experience in Platform Engineering, SRE, or Infrastructure Engineering.
Strong hands-on expertise with Kubernetes, Docker, Helm, Terraform, GitOps (ArgoCD/Flux), and Azure cloud services.
Proven experience delivering and leading infrastructure for AI/LLM-based production systems.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
Experienced in client-facing technical leadership roles managing multiple concurrent projects or teams in SLA-driven environments.
Deep technical skills in Kubernetes, GPU infrastructure (NVIDIA A100/H100), and AI-related systems such as vector databases and RAG pipelines.
Proficient in Infrastructure-as-Code, CI/CD pipeline management, incident management, and InfoSec review leadership in complex AI infrastructure environments.