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.