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GKE Engineer

Company:
AceStack
Location:
Dublin, OH, 43017
Posted:
March 04, 2026
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Description:

Job Title : GKE Engineer

Location: Dublin, OH Remote

Employment type: full time

Job Description

We are seeking a hands-on Kubernetes Migration Lead to drive the end-to-end migration of applications and APIs from Tanzu PCF to Google Kubernetes Engine (GKE). This role combines architecture leadership, technical enablement, and deep hands-on troubleshooting to ensure a scalable, secure, and high-performing Kubernetes platform.

Key Responsibilities

Migration Leadership & Architecture

Lead the end-to-end migration of applications and APIs from Tanzu PCF to GKE

Define the migration blueprint, including cluster architecture, networking, security, and workload patterns

Partner with engineering teams to assess existing PCF workloads and design the optimal GKE target state

Technical Enablement & Best Practices

Mentor and guide teams on Kubernetes fundamentals, containerization, service mesh, CI/CD, and GCP-native services

Create reusable templates, standardized deployment patterns, and shared components for GKE

Conduct technical workshops, training sessions, and architecture review forums

Hands-On Development & Troubleshooting

Provide hands-on support to refactor Java Spring Boot and Python applications for Kubernetes

Optimize container images, resource utilization, autoscaling, and observability

Troubleshoot GKE platform, networking, and service-level issues

Collaborate closely with DevOps and Cloud Engineering teams to integrate CI/CD pipelines and Infrastructure as Code (IaC)

Operational Excellence

Promote reliability, scalability, and security best practices across Kubernetes environments

Support production readiness, monitoring, and continuous improvement initiatives

Must-Have Technical / Functional Skills

Strong experience with Kubernetes and Google Kubernetes Engine (GKE)

Proven experience migrating workloads from Tanzu PCF (or Cloud Foundry) to Kubernetes

Hands-on expertise with Java Spring Boot and Python in containerized environments

Solid understanding of Kubernetes networking, security, and observability

Experience with CI/CD pipelines, DevOps practices, and IaC tools

Strong leadership, mentoring, and cross-team collaboration skills

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