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Senior GCP Engineer with AI
Job description
We are looking for a Senior GCP Engineer with AI experience to implement and manage cloud infrastructure for a data mesh architecture project with a focus on the AI stack in GCP. You will collaborate closely with cross-functional teams, including data engineers and architects, to ensure the successful implementation and optimization of the GCP platform.
Responsibilities
Request different services or permissions from the Central Cloud Engineering team through the established process in JIRA Design, configure, and maintain the GCP environment for the data mesh architecture project Collaborate with various teams to define cloud infrastructure requirements and ensure the scalability, security, and reliability of the GCP platform Create CI/CD pipelines and automation with cloud-specific deployment models using GitHub Actions Create and maintain documentation related to the GCP infrastructure and deployments Troubleshoot and resolve technical issues or performance bottlenecks related to the GCP platform Follow standards, best practices, and guides Requirements 5+ years of experience in cloud infrastructure design and implementation Expertise in Google Cloud Platform, including compute, storage, networking, and security Skills in Shell scripting, GitHub Actions, and Terraform Working knowledge of GKE, Anthos Service Mesh / Istio, and Helm charts Understanding of networking concepts, including firewall rules Familiarity with GCP Monitoring and Logging Proficiency in DevOps practices and tools, including continuous integration and deployment B2+ English or higher
Description copied from EPAM Systems's careers page. Read the full posting before you apply.
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