Senior AI Dev Platform Engineer
Tasks
- Automate Kubernetes with Helm and Kustomize
- Automate infrastructure with Terraform
- Build agentic workflows for platform operations
- Create GitOps continuous delivery workflows
- Deploy and manage Kubernetes on AWS EKS
- Design build MCP servers
- Document AI workflow usage guidance and best practices
- Implement FinOps cost attribution and optimization
- Implement LLM prompting RAG output validation
- Improve observability SLOs and error budgets
- Instrument AI workload metrics tracing logs
- Operate LLM gateway router patterns
- Run experiments to evaluate developer efficiency reliability cost
Perks/Benefits
- Healthcare benefits
- Internet and cell phone reimbursement
- Learning and development stipend
- Opportunity to travel
Skills/Tech-stack
AWS EKS | Argo CD | CI/CD | Cloud Cost Attribution | Cost attribution | Datadog | Error budget | FinOps | GitHub Actions | GitOps | Go | Helm | Infrastructure as Code | Kubernetes | Kustomize | LLM Gateway | Language Models | Large Language Models | MTTD | MTTR | Model routing | Observability | Python | RAG | SLO | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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