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Santa Barbara, CA, USA
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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
Bachelor’s degree
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