GKE Engineer

Skills

Design and implement containerized application solutions using Kubernetes. Define and manage Kubernetes resources such as Pods Deployments Services ConfigMaps and Secrets. Work with development teams to ensure smooth deployment pipelines and workflows for containerized applications. Cloud Infrastructure: Collaborate with cloud engineers to design and implement secure scalable and cost-effective cloud solutions on Google Cloud Platform (GCP). Optimize infrastructure for reliability availability and performance in a cloud-native environment. CI/CD Pipeline Integration: Develop and optimize CI/CD pipelines for seamless application deployment to GKE. Integrate Kubernetes deployment strategies (e.g. rolling updates canary releases) into continuous delivery workflows.

Description

Deploy and manage Google Kubernetes Engine (GKE) clusters and
related infrastructure.
Ensure the health and performance of Kubernetes clusters, handling
tasks such as scaling, upgrading, and patching.
Implement and manage cluster autoscaling, cost optimization, and
monitoring solutions.

Responsibilities

• Monitoring and Troubleshooting:
• Implement monitoring and alerting for GKE clusters using tools such
• as Prometheus, Stackdriver, or Grafana.
• Troubleshoot and resolve issues related to Kubernetes clusters,
• containers, and cloud infrastructure.
• Security:
• Implement security best practices for GKE environments, including
• role-based access control (RBAC), network policies, and service mesh
• architectures.
• Ensure compliance with security requirements and participate in
• vulnerability assessments and remediation efforts.
• Collaboration:
• Work closely with developers, system administrators, and DevOps
• teams to optimize deployment processes and ensure smooth operation of
• containerized applications.
• Provide technical support and guidance to team members regarding GKE
• and Kubernetes.
• Required Skills and Qualifications:
• Experience: 8+ years of hands-on experience working with Kubernetes
• and container orchestration systems.
• Strong experience with Google Kubernetes Engine (GKE) and Google
• Cloud Platform (GCP).
• Experience deploying and managing applications in cloud environments
• using Kubernetes.

Educational Requirements

• Proficiency in containerization technologies like Docker and
• Kubernetes.
• Familiarity with GKE services, including Autoscaler, Load Balancing,
• Networking, and IAM.
• Experience with cloud-native tools and services (e.g., Helm, Istio,
• Prometheus, Stackdriver).
• Knowledge of Infrastructure-as-Code tools (e.g., Terraform,
• CloudFormation).