Data Scientist
Core
Building and operating the infrastructure behind AI systems, specifically managing Kubernetes-based cluster services for development, deployment, and scaling.
Role type
MLOps/Platform Engineering Engineer (Kubernetes/DevOps)
Builds
Central cluster services, CI/CD and GitOps pipelines, observability stacks for production systems
Domain
AI/ML infrastructure, Cloud Native, DevOps
Deliverable
infrastructure
Required skills
Kubernetes, DevOps, CI/CD, GitOps, Linux, Networking, Observability (Logs, Metrics, Alerting), Software Engineering
Preferred skills
Ray, GPU infrastructure, Prometheus, Grafana, Loki
Technologies
Kubernetes, cert-manager, Ray, Prometheus, Grafana, Loki
Responsibilities
Ensure reliable operation and configuration of central cluster services; improve platform services including Ingress, certificate management, DNS, and secret management; maintain CI/CD and GitOps pipelines; integrate new services into clusters with engineering and AI teams; monitor production services and build out observability.
Seniority
Mid-level, hands-on IC
