Collaborate with software teams to ensure reliability, performance, and security of federal infra.
Design, deploy, and scale AI/ML/LLM infra on AWS/Azure/GCP for reliability.
Manage Kubernetes (EKS/AKS/GKE) for AI services and data pipelines.
Build data/model pipelines for fine-tuning, inference, and RAG using Terraform, Python.
Leverage GitOps, CI/CD, and Docker/Kubernetes to streamline ML/LLM tasks.
Implement observability with Prometheus, Grafana, ELK/EFK, Langfuse, and SLI/SLO/SLA.

🎯 Requirements

Bachelor’s or Master’s in CS/Engineering or related field, or equivalent.
8+ years in SRE, DevOps, Platform Engineering, MLOps, or Cloud Infrastructure.
4+ years production with Kubernetes (EKS/GKE/AKS) and Docker.
Strong Python; proficient in Bash/Go.
Terraform and CloudFormation (IaC).
Kubernetes Operators, Helm, GitOps (ArgoCD/Flux).

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