Senior DevOps Engineer GCP with AI

We are looking for a Senior DevOps Engineer GCP with AI expertise to join a project focused on building and maturing a centralized Cloud Product Engineering capability. You will implement and manage cloud infrastructure for a data mesh architecture project with an emphasis on the AI stack in GCP, collaborating with cross-functional teams, including data engineers and architects, to standardize and simplify the consumption of GCP native services such as GKE, Cloud Run, Cloud SQL, and Cloud Functions. Responsibilities Request services and permissions from the Central Cloud Engineering team through the established JIRA process Design, configure, and maintain the GCP environment for the data mesh architecture project Collaborate with various teams to define cloud infrastructure requirements and ensure scalability, security, and reliability of the GCP platform Build CI/CD pipelines and automation with cloud-specific deployment models using GitHub Actions Create and maintain documentation related to GCP infrastructure and deployments Troubleshoot and resolve technical issues and performance bottlenecks related to the GCP platform Follow established standards, best practices, and guides Requirements 5+ years of experience designing and implementing cloud infrastructure using Google Cloud Platform, including compute, storage, and networking services Proficiency in DevOps practices and tools, including continuous integration and deployment Expertise 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 Excellent problem-solving skills and ability to troubleshoot complex issues in a timely manner B2+ level of English proficiency to communicate and collaborate with global teams Nice to have Familiarity with New Relic Background in software development Good verbal and written communication skills Decent business acumen