Platform Engineer – Kubernetes & AI Infra (SF On-Site)

Devopsroles

San Francisco (CA)

Sur place

USD 180 000 - 210 000

Plein temps

Il y a 6 jours
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Résumé du poste

Devopsroles in San Francisco is seeking an experienced software engineer to join an early-stage AI infrastructure team. You will help shape the platform and infrastructure layer that enables developers to manage workloads across multiple clusters.

Build platform features in Go for Kubernetes, design GitOps workflows with ArgoCD, and craft IaC patterns with Terraform and Helm. You’ll work with Ceph/WEKA storage, Prometheus/Grafana observability, and Cilium for secure, observable networking in

Qualifications

  • 2+ years of software development experience; ~5 years preferred.
  • Hands-on Go for Kubernetes environments and production clusters.
  • Experience with distributed storage (Ceph/WEKA) and multi-cluster/federated architectures.
  • GitOps experience with ArgoCD; IaC with Terraform/Helm or similar.
  • Familiarity with Prometheus and Grafana; open-source infra contributions a plus.
  • Knowledge of cloud-native infra, container networking, and cloud platforms.

Responsabilités

  • Build platform features in Go, including custom Kubernetes operators and controllers.
  • Design GitOps workflows with ArgoCD for continuous deployment.
  • Create infrastructure-as-code patterns with Terraform and Helm.
  • Work with distributed storage (Ceph/WEKA) for scalable environments.
  • Develop observability and monitoring with Prometheus and Grafana.
  • Improve container networking with Cilium emphasizing security and observability.
  • Design federated Kubernetes architectures for multi-cluster management.
  • Build automation to reduce operational work for developers running production workloads.

Connaissances

Go
Kubernetes
GitOps
Multi-cluster architectures
Observability

Outils

ArgoCD
Terraform
Helm
Ceph
WEKA
Prometheus
Grafana
Cilium

Description du poste

Devopsroles in San Francisco is seeking an experienced software engineer to join an early-stage AI infrastructure team. You will help shape the platform and infrastructure layer that enables developers to manage workloads across multiple clusters.

Build platform features in Go for Kubernetes, design GitOps workflows with ArgoCD, and craft IaC patterns with Terraform and Helm. You’ll work with Ceph/WEKA storage, Prometheus/Grafana observability, and Cilium for secure, observable networking in

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