GKE / Google Cloud Platform Architect

About the position

The GKE / Google Cloud Platform Architect role involves configuring and managing Google Kubernetes Engine (GKE) clusters and developing observability pipelines. The position requires expertise in cloud environments, strong troubleshooting skills, and the ability to collaborate with cross-functional teams to ensure optimal performance and reliability of cloud services.

Responsibilities

• Configure and administer GKE clusters, ensuring robust performance and reliability.
• Design and implement observability pipelines for GKE, integrating advanced monitoring and logging solutions using the Google Operations Suite.
• Develop Infrastructure as Code (IaC) solutions with Terraform, optimizing deployments and resource management.
• Collaborate with cross-functional teams to architect observability pipelines for Google Cloud Platform services like GKE, Cloud Run, and Big Query.
• Build and deploy code using tools such as Google Cloud Build, GitHub Actions, and Artifact Registry.
• Optimize Google Cloud Platform resource usage, provide cost estimates and reports, and implement cost-saving strategies.
• Develop and maintain technical documentation and runbooks to support operational excellence.
• Leverage scripting skills (Shell and Python) to automate tasks and streamline workflows.
• Troubleshoot and resolve issues in distributed systems, including Linux/UNIX and Windows environments.

Requirements

• Extensive experience with GKE and Google Cloud Platform observability tools.
• Strong knowledge of cloud concepts including storage, compute, and networking.
• Proficiency in CI/CD pipelines, Docker, and container orchestration tools.
• Experience with Git (GitHub, GitLab, Bitbucket, SVN) for version control and collaboration.
• Advanced scripting skills in Shell and/or Python.
• Familiarity with Agile methodologies and tools like JIRA.
• Knowledge of Kafka and OpenShift is a plus.
• Excellent communication skills and the ability to work across global teams.

Nice-to-haves

• Knowledge of Kafka and OpenShift is a plus.