Startups · AI

Kubernetes Infrastructure Engineer

HeadSpin · Remote (US) · Remote

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About HeadSpin

HeadSpin enables real device testing with AI-driven insights, KPI analysis, and seamless automation across 50+ locations for optimized app performance. Connect now. Backed by GV and ICONIQ.

About the role

We are seeking a skilled and detail-oriented Kubernetes administrator with strong experience in managing and deploying cloud infrastructure (Azure, AWS, GCP). The ideal candidate will be responsible for maintaining, scaling, and optimizing Kubernetes clusters in a multi-cloud environment, ensuring high availability, security, and performance. This role requires hands-on expertise in containerization, cloud services, and continuous integration/deployment (CI/CD) practices.

What they're looking for

  • Experience:
  • Strong knowledge of container orchestration and management in Kubernetes
  • In-depth experience with cloud-native services on Azure (AKS, Virtual Networks), AWS (EKS, EC2, S3), and GCP (GKE, Cloud Storage)
  • Skills & Expertise:
  • Familiarity with infrastructure-as-code tools (Helm, ArgoCD)
  • Experience with monitoring and logging tools (Prometheus, Grafana, Opensearch)
More about this role

We are seeking a skilled and detail-oriented Kubernetes administrator with strong experience in managing and deploying cloud infrastructure (Azure, AWS, GCP). The ideal candidate will be responsible for maintaining, scaling, and optimizing Kubernetes clusters in a multi-cloud environment, ensuring high availability, security, and performance. This role requires hands-on expertise in containerization, cloud services, and continuous integration/deployment (CI/CD) practices.

The Kubernetes Administrator will collaborate closely with development, support, and cloud operations teams to support cloud-native applications and infrastructure.

  • Kubernetes Management:

Deploy, configure, and manage Kubernetes clusters on Azure, AWS, and Google Cloud Platform.

  • Monitor, troubleshoot, and resolve issues related to Kubernetes clusters and containerized applications.
  • Implement and manage automated scaling, health checks, and logging for Kubernetes environments.
  • Ensure high availability and disaster recovery for Kubernetes clusters in multi-cloud environments.
  • Cloud Infrastructure Management:

Work with Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS) and Google...

Read the full posting on HeadSpin's site ↗

DevOps

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