Platform Engineer (AI/LLM Infrastructure)
Tasks
- Apply GitOps using ArgoCD or Flux
- Architect and manage Kubernetes production environments
- Build and maintain CI/CD pipelines
- Coordinate delivery across teams and client engagements
- Design and operationalize RAG pipelines
- Design scalable infrastructure platforms for AI and LLM solutions
- Ensure security posture and InfoSec review processes
- Establish observability standards
- Implement infrastructure as code with Terraform
- Lead post-mortem analysis
- Manage incident response and on-call operations
- Operate infrastructure platforms for enterprise clients
- Own end to end infrastructure architecture below the application layer
- Provision and optimize GPU infrastructure
Perks/Benefits
- N/A
Skills/Tech-stack
AKS | Ansible | ArgoCD | Azure DevOps | CI/CD | Container Registry | Datadog | EKS | ELK | Flux | GPU provisioning | GitHub Actions | GitHub Container Registry | GitOps | Kubernetes | NVIDIA A100 | NVIDIA CUDA | NVIDIA H100 | OpenSearch | OpenTelemetry | RAG | RBAC | Terraform | Vector Databases
Education
N/A
Roles
DevOps | DevOps Engineer | Engineer | Platform | Platform Engineer | SRE | SRE Engineer
Regions
Countries
States
Cities
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