Platform Engineer (AI/LLM Infrastructure)

Role: Platform Engineer (AI/LLM Infrastructure)

Location: Santa Clara, CA (Hybrid)

Type: Contract

Day to Day Job Duties:

• Lead the design, implementation, and operation of scalable infrastructure platforms supporting AI/LLM-based solutions for enterprise clients
• Act as a hands-on technical lead (player-coach), contributing to development while guiding a team of engineers
• Own end-to-end infrastructure architecture below the application layer, including compute, container orchestration, CI/CD, observability, and security
• Partner directly with clients and stakeholders to design, present, and deliver robust AI infrastructure solutions
• Architect and manage production-grade Kubernetes environments (AKS/EKS), including cluster operations and RBAC
• Design and operationalize RAG pipelines, including ingestion, chunking, embedding workflows, and vector database management
• Lead GPU infrastructure provisioning and optimization (NVIDIA A100/H100 or similar)
• Drive Infrastructure-as-Code adoption using Terraform and GitOps practices (ArgoCD/Flux)
• Build and maintain CI/CD pipelines using GitHub Actions and Azure DevOps
• Establish observability standards using Datadog, OpenTelemetry, and ELK/OpenSearch
• Lead incident response, on-call processes, and post-mortem analysis
• Ensure strong security posture and lead InfoSec review processes
• Coordinate delivery across multiple teams and client engagements

Basic Qualifications:

• 5–8 years of experience in Platform Engineering, SRE, or Infrastructure Engineering
• 3+ years of Proven experience delivering and leading infrastructure for AI/LLM-based production systems
• Strong hands-on expertise in Kubernetes, Docker, Helm
• 3+ years of experience with Terraform and GitOps (ArgoCD/Flux)
• 3+ years of experience with Azure (Key Vault, Monitor, DevOps Pipelines)
• 3+ years of experience leading client-facing technical engagements
• 3+ years of experience managing multiple concurrent projects or teams
• 3+ years of Hands-on experience with incident management and SLA-driven environments
• 3+ years of Experience leading security/InfoSec reviews
• Strong understanding of vector databases, RAG pipelines, and LLM inference systems
• 3+ years of Experience with CI/CD and container registry management
• Degree:
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Nice to Have (But Not Required):

• Experience with AWS in addition to Azure
• Familiarity with Azure API Management and AKS
• Experience with Pulumi (Python/TypeScript)
• Knowledge of NIM deployment and lifecycle management
• Python scripting for infrastructure automation
• Experience with load testing tools (k6, Locust, JMeter)
• Exposure to FinOps and cost optimization practices