Site Reliability Engineer

Job description

LiveRamp is shaping the future of responsible data collaboration between the world’s leading brands, retailers, financial services providers, and healthcare innovators. As consumers embrace new AI-driven experiences, the LiveRamp data collaboration network exponentially expands the breadth and accuracy of the data on which marketing AI capabilities operate, powering deeper customer insight and measurable performance on a global scale. LiveRamp is headquartered in San Francisco, California, with offices worldwide. Learn more at LiveRamp.com . The Global SRE team is responsible for supporting deployments of global products and providing first-line operational support. We are looking for a Site Reliability Engineer who is eager to learn modern SRE and cloud engineering practices while helping maintain reliable and scalable production systems. This role is ideal for someone early in their SRE, DevOps, Cloud Engineering, or Systems Engineering career who enjoys troubleshooting, automation, and working closely with engineering teams in a fast-paced global environment. You will: Own and support the deployment of global products, including provisioning, configuring, and maintaining production and internal environments. Provide 24/7 first-line engineering support through a globally distributed follow-the-sun support model, ensuring timely incident response and resolution. Monitor and improve system health, availability, performance, and reliability through observability, alerting, and proactive operational practices. Independently troubleshoot production incidents, perform root cause analysis (RCA), and implement preventive measures to reduce recurring issues. Develop and maintain automation solutions to reduce manual intervention, improve operational efficiency, and minimize human error. Build, maintain, and improve CI/CD pipelines to enable reliable, secure, and efficient software deployments. Manage cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform, ensuring consistency, scalability, and repeatability. Support and optimize containerized workloads and orchestration platforms, including Kubernetes. Identify and address reliability risks, performance bottlenecks, and infrastructure scalability challenges. Contribute to incident management processes, post-incident reviews, operational runbooks, and continuous improvement initiatives. Col…