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.
Key Responsibilities
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.
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 Kubernetes Engine (GKE) to design and manage cloud-native infrastructures. Optimize cloud infrastructure for performance, cost, and resource efficiency. Collaborate with development teams to manage deployments to Kubernetes clusters. Configure application and network integrations to customer on-premises and cloud-based services.
Work with Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS) and Google Kubernetes Engine (GKE) to design and manage cloud-native infrastructures.
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Optimize cloud infrastructure for performance, cost, and resource efficiency.
Collaborate with development teams to manage deployments to Kubernetes clusters.
Configure application and network integrations to customer on-premises and cloud-based services.
Security & Compliance: Implement Kubernetes security best practices, including role-based access control (RBAC), network policies, and encryption. Ensure compliance with organizational security policies and regulatory requirements within the cloud environment. Manage and monitor IAM roles, policies, and permissions on Azure, AWS, GKE platforms.
Implement Kubernetes security best practices, including role-based access control (RBAC), network policies, and encryption.
Ensure compliance with organizational security policies and regulatory requirements within the cloud environment.
Manage and monitor IAM roles, policies, and permissions on Azure, AWS, GKE platforms.
Documentation & Reporting: Maintain clear and comprehensive documentation of Kubernetes configurations, best practices, and cloud infrastructure. Provide regular reports on cluster performance, issues, and resolutions to stakeholders.
Maintain clear and comprehensive documentation of Kubernetes configurations, best practices, and cloud infrastructure.
Provide regular reports on cluster performance, issues, and resolutions to stakeholders.
Collaboration & Support: Work with development teams to ensure seamless deployment and operation of applications within the Kubernetes clusters. Troubleshoot and resolve Kubernetes-related issues across multiple environments. Provide on-call support as required for cloud infrastructure and Kubernetes environments.
Work with development teams to ensure seamless deployment and operation of applications within the Kubernetes clusters.
Troubleshoot and resolve Kubernetes-related issues across multiple environments.
Provide on-call support as required for cloud infrastructure and Kubernetes environments.
Required Qualifications
Experience: Proven experience (4+ years) as a Kubernetes Administrator, Cloud Engineer, or similar role with hands-on experience in managing production Kubernetes cluster environments. 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) .
Proven experience (4+ years) as a Kubernetes Administrator, Cloud Engineer, or similar role with hands-on experience in managing production Kubernetes cluster environments.
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: Proficiency with containerization and orchestration technologies (Docker, Kubernetes). Familiarity with infrastructure-as-code tools (Helm, ArgoCD).
Experience
with monitoring and logging tools (Prometheus, Grafana, Opensearch).
Strong knowledge of cloud security best practices, including network security, identity, and access management (IAM).
Proficiency with containerization and orchestration technologies (Docker, Kubernetes).
Familiarity with infrastructure-as-code tools (Helm, ArgoCD).
Experience with monitoring and logging tools (Prometheus, Grafana, Opensearch).
Strong knowledge of cloud security best practices, including network security, identity, and access management (IAM).
Key Competencies
Problem Solving: Strong analytical skills and the ability to troubleshoot complex systems in a fast-paced environment.
Collaboration: Ability to work effectively across teams, including developers, cloud engineers, and support.
Adaptability: Comfort with rapidly changing technologies and cloud service offerings.
Attention to Detail: Ability to manage and maintain configurations with accuracy and precision.
Communication: Clear written and verbal communication skills to document processes, report issues, and explain solutions.
About HeadSpin
Software & SaaS229 employeesFounded 2015
AI-powered digital experience testing platform that helps enterprises test, monitor, and optimize mobile, web, and OTT applications.
