DevOps Engineer - KubeOps Team

Job Description

• Master the Cluster: Manage the lifecycle of our large-scale Kubernetes environments, without disrupting the thousands of services running on it.
• Build the Platform: Own and evolve the cluster building blocks — Kubernetes Architecture, Karpenter configurations, addons, networking, autoscaling. Where it makes sense, platformize them so other infra teams can consume them cleanly
• Pioneer AI-Driven Ops: Lead the charge in integrating AI into our ecosystem—building LLM-powered tools that accelerate investigation, planning, and coding for the whole team.
• Full-Stack Ownership: You’ll take ambiguous tasks and transform them into high-quality outcomes, owning every decision along the way.
  
  

• +2 years in managing infrastructure, operating production systems at large scale
• 2+ years running production Kubernetes — EKS preferred with a strong understanding of core control-plane and cluster components, with hands-on experience debugging, upgrading, and tuning autoscaling and cluster networking
• 2+ years with a major cloud provider (AWS preferred) — solid grasp of core compute, networking, and IAM.
• 2+ years with Infrastructure-as-Code, writing and maintaining reusable modules (Terraform, Pulumi, Crossplane, etc.)
• Familiarity with observability at scale — Prometheus, Grafana, alert design
• Experience building internal tooling in Go or Python
• Hands-on experience with AI-assisted development tools and agents (Claude Code, Codex, Cursor) for knowledge gathering, debugging, coding, planning, and design — with the ability to integrate these into concrete workflows that demonstrably accelerate your work.
  
  

• Cluster autoscaling in production
• Cost / capacity optimization at fleet scale — Karpenter consolidation, bin-packing, spot strategy
• Linux internals and node-level debugging — when a Kubernetes problem turns into a Linux problem, you can take it from there
• Track record of leading projects end-to-end: scoping, execution and delivery.