A cloud technology company is seeking a Google Kubernetes Engine Engineer with extensive knowledge in cloud technologies, especially GCP. The role involves managing Kubernetes clusters, deploying applications, and troubleshooting issues. The ideal candidate should have hands-on experience with containerization technologies and a strong background in cloud networking and security. This opportunity offers a chance to work in a dynamic environment in Manila, Philippines.
Qualifications
Experience managing and maintaining Kubernetes.
Experience diagnosing and resolving complex issues.
Familiarity with support methodologies and analytical skills.
Responsibilities
Manage Kubernetes clusters and deploy applications.
Troubleshoot Kubernetes-related issues.
Implement Infrastructure as Code (IaC) practices.
Implement container orchestration and service mesh.
Handle IaC, CI/CD pipelines, and version control.
Ensure secure, scalable cloud infrastructure.
Monitor, log, and respond to incidents.
Maintain data pipelines and networking configurations.
Skills
Cloud Expertise
GKE/Kubernetes
Containerization
Networking
Infrastructure as Code (IaC)
CI/CD
Version Control
Scripting and Programming
Operating Systems
Monitoring and Logging
Security
Database Skills
Service Mesh
Configuration Management
Data Pipelines
Job description
Career Opportunity: Google Kubernetes Engine Engineer
Technical Skills/Responsibilities
Cloud Expertise: Extensive knowledge of cloud, preferably GCP, Cloud Storage, Cloud Networking and other GCP services
GKE/Kubernetes: Proficient in managing Kubernetes (GKE or other cloud solution like EKS) clusters, deploying applications, and troubleshooting Kubernetes-related issues
Containerization: Hands-on experience with Docker and other containerization technologies
Container Orchestration
Networking
Infastructure as Code (IaC)
CI/CD
Version Control
Scripting and Programming
Operating Systems
Monitoring and Logging
Security
Database Skills
Service Mesh
Configuration Management
Data Pipelines
Qualifications
Kubernetes Experience: Have an experience managing and maintaining Kubernetes
Troubleshooting Experience: Have and experience in troubleshooting, diagnosing and resolving complex issues
Support Experience: Familiarity with support methodologies, case lifecycles, and analytical skills