GCP Cloud Automation Engineer / SRE

We are looking for a hands-on GCP Cloud Automation Engineer / SRE to build, automate, and enhance cloud platform capabilities across a Google Cloud environment. The role will focus on cloud automation, platform engineering, observability, reliability, and self-service enablement, helping to improve scalability, operational efficiency, and reduce manual effort. Key Responsibilities: Design, develop and maintain automation solutions for GCP platform operations. Build self-service capabilities for application onboarding, infrastructure provisioning and cloud operations. Automate deployment, operational, and monitoring processes to improve efficiency and consistency. Develop and enhance monitoring, logging, alerting, and observability capabilities. Improve platform reliability, resilience, scalability, and operational readiness. Support and troubleshoot GKE/Kubernetes-based platforms and cloud-native services. Develop and maintain CI/CD pipelines and deployment automation. Implement Infrastructure as Code and automation best practices. Work closely with platform, application, security, and infrastructure teams to deliver scalable and reliable cloud solutions. Participate in incident management, troubleshooting, and continuous improvement of cloud operations. Required Skills & Experience 7+ years of hands-on experience with Google Cloud Platform (GCP). Strong experience in cloud automation and scripting using Python, Bash, or similar languages. Hands-on experience with Infrastructure as Code (IaC), preferably Terraform. Strong Kubernetes / GKE administration, troubleshooting, and operational experience. Experience building and maintaining CI/CD pipelines and deployment automation. Good knowledge of monitoring, logging, and observability tools and practices. Strong understanding of cloud operations, incident management, and reliability engineering. Good understanding of cloud-native architecture and platform engineering practices. Good to Have Experience working in an SRE / Site Reliability Engineering environment. Experience with Vertex AI or modern AI/cloud platforms. Knowledge of cloud security, IAM, and access management. Exposure to FinOps, cloud cost optimisation, and resource efficiency.