Cloud Platform Engineering Manager

We are seeking a highly skilled and passionate GKE Platform Engineering Manager to join our growing team. This role is ideal for someone with deep experience in managing Google Kubernetes Engine (GKE) platforms at scale, particularly with enterprise-level workloads on Google Cloud Platform (GCP). As part of a dynamic team, you will design, develop, and optimize Kubernetes-based solutions, using tools like GitHub Actions, ACM, KCC, and workload identity to provide high-quality platform services to developers. You will drive CI/CD pipelines across multiple lifecycle stages, manage GKE environments at scale, and enhance the developer experience on the platform. You should have a strong mindset for developer experience, focused on creating reliable, scalable, and efficient infrastructure to support developer needs. This is a fast-paced environment where collaboration across teams is key to delivering impactful results. Experience: 8+ years of overall experience in cloud platform engineering, infrastructure management, and enterprise-scale operations. 5+ years of hands-on experience with Google Cloud Platform (GCP) , including designing, deploying, and managing cloud infrastructure and services. 5+ years of experience specifically with Google Kubernetes Engine (GKE) , managing large-scale, production-grade clusters in enterprise environments. Experience with deploying, scaling, and maintaining GKE clusters in production environments. Hands-on experience with CI/CD practices and automation tools like GitHub Actions. Proven track record of building and managing GKE platforms in a fast-paced, dynamic environment. Experience developing custom Kubernetes operators and controllers for managing complex workloads. Deep Troubleshooting Knowledge: Strong ability to troubleshoot complex platform issues, with expertise in diagnosing problems across the entire GKE stack. Technical Skills: Must Have: Google Cloud Platform (GCP): Extensive hands-on experience with GCP, particularly Kubernetes Engine (GKE), Cloud Storage, Cloud Pub/Sub, Cloud Logging, and Cloud Monitoring. Kubernetes (GKE) at Scale: Expertise in managing large-scale GKE clusters, including security configurations, networking, and workload management. CI/CD Automation: Strong experience with CI/CD pipeline automation tools, particularly GitHub Actions , for building, testing, and deploying applications. Kubernetes Operators & Controllers: Ability to develop custom Kubernetes operators and controllers to automate and manage applications on GKE. Workload Identity & Security: Solid understanding of Kubernetes workload identity and access management (IAM) best practices, including integration with GCP Identity and Google Cloud IAM. Anthos & ACM: Hands-on experience with Anthos Config Management (ACM) and Kubernetes Cluster Config (KCC) to manage and govern GKE clusters and workloads at scale. Infrastructure as Code (IaC): Experience with tools like Terraform to manage GKE infrastructure and cloud resources. Helm & Kustomize: Experience in using Helm and Kustomize for packaging, deploying, and managing Kubernetes resources efficiently. Ability to create reusable and scalable Kubernetes deployment templates. Observability & Logging Tools: Experience with observability tools such as Prometheus , Dynatrace , and Splunk to monitor and log GKE performance, providing developers with actionable insights for troubleshooting. Nice to Have: Zero Trust Security Model: Strong understanding of implementing and maintaining security in a Zero Trust model for GKE, including workload authentication, identity management, and network security. Ingress Patterns: Experience with designing and managing multi-cluster and multi-regional ingress in Kubernetes to ensure fault tolerance, traffic management, and high availability. Familiarity with Open Policy Agent (OPA) for policy enforcement in Kubernetes environments. Education & Certification: Bachelor’s degree in Computer Science, Engineering, or a related field. Relevant GCP certifications, such as Google Cloud Certified Professional Cloud Architect or Google Cloud Certified Professional Cloud Developer . Soft Skills: Collaboration: Strong ability to work with cross-functional teams to ensure platform solutions meet development and operational needs. Problem-Solving: Excellent problem-solving skills with a focus on troubleshooting and performance optimization. Communication: Strong written and verbal communication skills, able to communicate effectively with both technical and non-technical teams. Initiative & Ownership: Ability to take ownership of platform projects, driving them from conception to deployment with minimal supervision. Adaptability: Willingness to learn new technologies and adjust to evolving business needs. undefined