DevOps Engineer KubeOps Team

• 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 ecosystembuilding LLM-powered tools that accelerate investigation planning and coding for the whole team.
• Full-Stack Ownership:  Youll take ambiguous tasks and transform them into high-quality outcomes owning every decision along the way.

Qualifications :

• 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.

Advantage:

• 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.

Additional Information :

KubeOps operates Wixs production Kubernetes platform at scale: a multi-DC EKS fleet with clusters running up to 50000 pods and 2000 nodes hosting thousands of services across the company. We own the platform end-to-end reliability scale upgrades autoscaling and networking.

Remote Work :

No

Employment Type :

Full-time