Senior DevOps Engineer (GCP, Kubernetes, Terraform) - AI Platform

Senior DevOps Engineer (GCP, Kubernetes, Terraform) - AI PlatformOur banking client is seeking a Senior Cloud Platform Engineer to design, build, and operate scalable cloud infrastructure across GCP and Azure environments. This is a hands-on engineering role focused on cloud platform delivery, Kubernetes operations, infrastructure automation, and DevOps best practices supporting enterprise-scale applications and AI platforms.What You’ll DoDesign, implement, and manage IaaS and PaaS solutions primarily within GCP and across Azure environments.Build and operate scalable cloud infrastructure including compute, networking, storage, and managed cloud services.Deploy and manage containerized workloads using Docker and Kubernetes (GKE/AKS).Develop and maintain Terraform-based infrastructure-as-code solutions for provisioning and automation.Drive best practices around cloud security, scalability, reliability, and cost optimization.Support CI/CD pipelines, release automation, and DevOps delivery processes.Partner with application, data, and AI/ML teams to support platform and deployment requirements.Monitor, troubleshoot, and optimize cloud-native and containerized environments.What We’re Looking For5–8 years of experience in cloud infrastructure, platform engineering, or DevOps engineering.Strong hands-on expertise with Google Cloud Platform (GCP).Experience working with Azure cloud services and hybrid cloud environments.Deep knowledge of Kubernetes, Docker, and container orchestration platforms.Strong Terraform and infrastructure-as-code experience.Solid understanding of cloud networking, IAM, security, and monitoring.Experience working within Agile and DevOps-focused engineering environments.