Related skills
terraform kubernetes ray argocd trino📋 Description
- Data Plane Ownership: Architect and manage lifecycle of high-throughput data tools on Kubernetes.
- GitOps & Automation: Zero-manual-touch infra using ArgoCD and Terraform.
- Observability at Scale: Build high-cardinality monitoring with VictoriaMetrics and Vector.
- ML Lifecycle Support: Maintain MLflow integration with compute and storage layers.
- Engineering Sovereignty: Identify bottlenecks and optimize data infra.
- Reliability: Participate in on-call rotations for the data stack.
🎯 Requirements
- Data-Aware Engineer: scale databases and Ray clusters; handle persistent volumes.
- Senior Leadership: on-call outages and automation to prevent repeats.
- Tooling Polyglot: Go or Python to extend Kubernetes Operators.
- Self-Directed: turn high-level requirements into infra roadmaps.
- Bachelor’s degree or equivalent practical experience.
- ITAR eligibility: US citizenship or permanent residency or protected status.
🎁 Benefits
- Equal opportunity employer committed to diversity and inclusivity.
- Reasonable accommodations available for applicants.
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