ZipRecruiter
Google Service Mesh Architect
ZipRecruiter, San Francisco, California, United States, 94199
Job DescriptionJob Description
Job Title:
Google Service Mesh Architect
Job Type:
12-Month Contract
Location:
San Francisco, CA (Onsite)
About the Client: The client is a global leader in cloud- technologies, seeking a highly skilled
Google Cloud Platform (GCP) Architect
with expertise in
Istio
and
Kubernetes
to contribute to critical projects. This role involves designing and enhancing service mesh capabilities within
Google Kubernetes Engine (GKE)
while focusing on networking, security, and automation. Key Responsibilities:
Custom Resource Development : Design, develop, and manage Custom Resource Definitions (CRDs) to extend Istio’s functionality for GKE-based applications.
API Validation : Create and implement OpenAPI v3 schemas to validate custom Kubernetes resources.
Automation : Develop Kubernetes Operators to automate complex workflows and streamline operations.
CI/CD Integration : Collaborate on CI/CD pipeline development, integrating GitOps practices for efficient application deployment.
Performance Optimization : Troubleshoot, monitor, and optimize GKE environments to ensure peak service mesh performance.
Team Leadership : Mentor junior team members, perform quality assurance on their work, and contribute to team growth.
Stakeholder Management : Work directly with senior stakeholders to manage project expectations, provide technical updates, and ensure successful delivery.
Qualifications:
Kubernetes Expertise : Extensive experience with Kubernetes and GKE in production environments.
Istio Proficiency : In-depth knowledge of Istio components (e.g., Envoy, VirtualService, DestinationRule) and related networking concepts.
Cloud- Skills : Strong experience with OpenAPI v3, Helm, and Kubernetes resource validation.
Programming Skills : Proficiency in
Go
or
Python
for building custom controllers and workflows.
Operator Development : Hands-on experience with Kubernetes Operator frameworks such as Kubebuilder or Operator SDK.
DevOps Knowledge : Familiarity with GitOps principles, CI/CD pipelines, and cloud platforms (especially GCP).
Communication & Leadership : Proven ability to oversee team members, provide guidance, and collaborate effectively with stakeholders.
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Google Service Mesh Architect
Job Type:
12-Month Contract
Location:
San Francisco, CA (Onsite)
About the Client: The client is a global leader in cloud- technologies, seeking a highly skilled
Google Cloud Platform (GCP) Architect
with expertise in
Istio
and
Kubernetes
to contribute to critical projects. This role involves designing and enhancing service mesh capabilities within
Google Kubernetes Engine (GKE)
while focusing on networking, security, and automation. Key Responsibilities:
Custom Resource Development : Design, develop, and manage Custom Resource Definitions (CRDs) to extend Istio’s functionality for GKE-based applications.
API Validation : Create and implement OpenAPI v3 schemas to validate custom Kubernetes resources.
Automation : Develop Kubernetes Operators to automate complex workflows and streamline operations.
CI/CD Integration : Collaborate on CI/CD pipeline development, integrating GitOps practices for efficient application deployment.
Performance Optimization : Troubleshoot, monitor, and optimize GKE environments to ensure peak service mesh performance.
Team Leadership : Mentor junior team members, perform quality assurance on their work, and contribute to team growth.
Stakeholder Management : Work directly with senior stakeholders to manage project expectations, provide technical updates, and ensure successful delivery.
Qualifications:
Kubernetes Expertise : Extensive experience with Kubernetes and GKE in production environments.
Istio Proficiency : In-depth knowledge of Istio components (e.g., Envoy, VirtualService, DestinationRule) and related networking concepts.
Cloud- Skills : Strong experience with OpenAPI v3, Helm, and Kubernetes resource validation.
Programming Skills : Proficiency in
Go
or
Python
for building custom controllers and workflows.
Operator Development : Hands-on experience with Kubernetes Operator frameworks such as Kubebuilder or Operator SDK.
DevOps Knowledge : Familiarity with GitOps principles, CI/CD pipelines, and cloud platforms (especially GCP).
Communication & Leadership : Proven ability to oversee team members, provide guidance, and collaborate effectively with stakeholders.
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