Senior AI Dev Platform Engineer
Tasks
- Create infrastructure as code with Terraform and Helm and Kustomize
- Define success metrics and run experiments for impact evaluation
- Design GitOps based continuous delivery systems
- Design build MCP servers for AI agents and developer assistants
- Design build operate AI assisted capabilities in platform infrastructure
- Document usage guidance patterns and best practices
- Enable AI assisted code review and developer tooling
- Implement LLM gateway and router patterns
- Implement agentic workflows for platform operations
- Improve observability reliability and operational excellence with SLOs
- Instrument platform cost signals and build FinOps automation
- Operationalize LLM features with structured prompting and RAG
- Provision Kubernetes infrastructure on AWS EKS
Perks/Benefits
- Healthcare
- Hybrid work model
- Internet reimbursement
- Learning and development stipend
- Phone reimbursement
- Travel opportunities
Skills/Tech-stack
AWS | AWS EKS | Argo CD | CI/CD | Cloud Cost Attribution | Cloud Cost Optimization | Cost Optimization | Cost attribution | Datadog | Error budget | FinOps | GitHub Actions | GitOps | Go | Helm | Infrastructure as Code | Kubernetes | Kustomize | LLM | LLM Gateway | Logs | MCP servers | Metrics | Model routing | Observability | Python | RAG | SLO | Terraform | Traces | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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