Applix
United States
New
Kubernetes Engineer
- AI
- AWS
- Cloud
- EKS
AI Summary
Join an early-stage infrastructure team building Kubernetes tools for AI workloads. Focus on developing platform features, GitOps workflows, and distributed storage solutions. Requires 2+ years of software development experience with Go, Kubernetes, and DevOps automation.
Key Highlights
Build Kubernetes operators and controllers in Go for AI workloads
Design GitOps workflows with ArgoCD and IaC with Terraform/Helm
Experience with Ceph, WEKA, Cilium, Prometheus, and Grafana required
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Key Responsibilities
Develop Kubernetes operators and controllers in Go
Design GitOps workflows with ArgoCD
Create IaC patterns with Terraform/Helm
Work on distributed storage (Ceph/WEKA)
Build observability systems with Prometheus/Grafana
Optimize container networking with Cilium
Design federated Kubernetes architectures
Automate infrastructure operations
Technical Skills Required
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Benefits & Perks
Base salary: $180,000–$210,000 annually
Visa sponsorship available
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Nice to Have
Experience with cloud Kubernetes offerings
Bare-metal infrastructure expertise
GPU workloads knowledge
Open-source contributions to Kubernetes
Job Description
About the Role
Join an early-stage infrastructure team building tools that simplify production Kubernetes operations for demanding AI workloads. You will help develop the platform and systems behind reliable, multi-cluster infrastructure.
What You'll Do
Build platform features in Go, including custom Kubernetes operators and controllers.
Design GitOps workflows with ArgoCD to streamline continuous deployment.
Create infrastructure-as-code patterns with Terraform and Helm to provision and manage clusters.
Work on distributed storage using Ceph and WEKA.
Build observability systems with Prometheus and Grafana to surface cluster health and performance.
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