1 day ago
London, United KingdomMid Level / Senior
Responsibilities
- Own provisioning, configuration, maintenance, and operational support for global product deployments and production environments.
- Provide first-line engineering support through a 24/7 globally distributed follow-the-sun model.
- Monitor and improve system health, availability, performance, and reliability using observability and alerting practices.
- Troubleshoot production incidents, perform root cause analysis, and implement preventive measures.
- Develop automation to reduce manual intervention, improve efficiency, and minimize human error.
- Build, maintain, and improve CI/CD pipelines for reliable and secure software deployments.
- Manage cloud infrastructure with Infrastructure as Code tools such as Terraform.
- Support and optimize containerized workloads and Kubernetes orchestration platforms.
- Identify reliability risks, performance bottlenecks, and infrastructure scalability challenges.
- Contribute to incident management, post-incident reviews, operational runbooks, production readiness assessments, and continuous improvement.
- Collaborate with Software Engineering, DevOps, QE, Security, Product, and globally distributed SRE teams.
- Share technical knowledge, contribute to engineering standards, and support junior team members.
- Participate in on-call rotations and follow-the-sun operational support.
Requirements
- 3–5 years of hands-on experience in Site Reliability Engineering, DevOps, Production Engineering, Cloud Engineering, or a related field.
- Strong understanding of Linux systems, networking fundamentals, and production infrastructure operations.
- Hands-on experience with AWS, GCP, or Azure.
- Experience deploying, managing, and troubleshooting containerized applications with Kubernetes and Docker.
- Experience building and maintaining CI/CD pipelines with Jenkins, GitHub Actions, or ArgoCD.
- Proficiency with Infrastructure as Code tools such as Terraform.
- Strong scripting or programming skills in Python, Bash, Go, or similar languages.
- Experience with monitoring, logging, and observability tools such as Prometheus, Grafana, or Datadog.
- Understanding of incident management, troubleshooting, root cause analysis, and production support practices.
- Familiarity with distributed systems, high availability, scalability, and reliability engineering principles.
- Experience identifying operational inefficiencies and implementing automation or process improvements.
- Strong analytical, problem-solving, troubleshooting, communication, and collaboration skills.
- Ability to manage competing priorities, take ownership, and deliver solutions with minimal supervision.
- Willingness to participate in on-call rotations and provide operational support.
Tech Stack
AWSAzureBashDatadogDockerGitHub ActionsGoGoogle Cloud PlatformGrafanaJenkinsKubernetesLinuxPrometheusPythonTerraform
Categories
Site Reliability
About LiveRamp
LiveRamp builds a data collaboration and identity resolution platform used by brands, publishers, and agencies to connect and activate customer data across channels with privacy controls. It sells enterprise software and services—including data clean rooms, onboarding, and a data marketplace—typically via subscriptions and usage-based fees. Founded in 2011 and headquartered in San Francisco, it is a public company traded on the NYSE.