Senior Principal Platform Engineer
Tasks
- Build and maintain AI path to prod stack
- Build internal AI platforms and developer tooling
- Contribute to Kubernetes based AI access platform
- Create inference endpoints and evaluation pipelines
- Deploy and scale AI workloads with GPU clusters
- Deploy core AI services on Kubernetes
- Design MLOps pipelines
- Design unified interface for AI model access
- Implement Agentic Orchestration
- Implement reproducible AI workflows
- Implement vector databases and RAG pipelines
- Integrate AI foundation and reasoning models
- Integrate CI CD for AI systems
- Integrate model serving and local inference engines
- Manage model lifecycle and experimentation
- Operationalize AI capabilities
- Provide enterprise AI adoption recommendations
- Secure AI workloads and governance controls
- Secure and mature AI platform
- Support spec driven development
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | ArgoCD | Azure | Bash | CI/CD | Cilium | Crossplane | DNS | Docker | Embeddings | GPU | GitLab | GitLab CI | GitLab CI/CD | GitOps | Go | Grafana | Helm | Hugging Face | Istio | Keycloak | Kubernetes | Langchain | Load Balancing | MLOps | MLflow | Model Serving | MySQL | OIDC | Observability | PostgreSQL | Prometheus | Prompt injection | PyTorch | Python | RAG | REST APIs | RPC APIs | Ray | SAML | SSL | Security Governance | Semantic Search | Service Mesh | Supply Chain | Supply chain security | TLS | Terraform | VLLM | VNet | VPC | Vector Database
Education
N/A
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