ВеликобританияSite Reliability Engineer
2 дн. назад
ВеликобританияJunior
devopscloud engineeringtroubleshootingautomation
Site Reliability Engineer supporting deployments and operational support for global products with focus on reliability and cloud engineering practices.
Обязанности
- 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.
- Collaborate with Software Engineering, DevOps, QE, Security, and Product teams to ensure production readiness and reliable product delivery.
- Drive improvements in operational excellence through automation, monitoring enhancements, and adoption of SRE best practices.
- Participate in technical discussions, architecture reviews, and production readiness assessments to ensure systems meet operational and reliability requirements.
- Share technical knowledge, contribute to engineering standards, and support the development of junior team members.
- Work closely with SRE team members and Engineering organizations based in California, Paris, Nantong, Singapore, Australia, and other global locations.
Другое
- 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 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. is headquartered in San Francisco, California, with offices worldwide. Learn more at .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.
- 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 public cloud platforms such as AWS, GCP, or Azure.
- Practical experience deploying, managing, and troubleshooting containerized applications using Kubernetes and Docker.
- Experience building and maintaining CI/CD pipelines using tools such as 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, with the ability to develop operational automation.
- Experience with monitoring, logging, and observability tools such as Prometheus, Grafana, Datadog, or similar platforms.
- Solid understanding of incident management, troubleshooting methodologies, 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, and troubleshooting skills, with the ability to independently investigate complex technical issues.
- Effective communication and collaboration skills, particularly when working with cross-functional and globally distributed engineering teams.
- Ability to manage competing priorities, take ownership of assigned responsibilities, and deliver solutions with minimal supervision.
- Willingness to participate in on-call rotations and provide operational support as part of a follow-the-sun model.
- We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.
- To all recruitment agencies : does not accept agency resumes. Please do not forward resumes to our jobs alias, employees or any other company location. is not responsible for any fees related to unsolicited resumes.