Site Reliability Engineer

WPP is the trusted growth partner for the worlds leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships - all united by ourpioneeringagentic marketing platform, WPP Open - we help clients navigate change, capture opportunity, and deliver transformational growth.

WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation nected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.

This role is within WPP Media, where you will be instrumental in owning production stability, observability, and system health for a mission-critical global campaign governance and compliance platform. As a Site Reliability Engineer, you will operate and improve a system running natively on Google Cloud Platform (GCP). You will investigate complex production issues, implement minor code-level fixes in Python, lead root cause analysis, and improve the reliability of distributed systems.

Working closely with the EMEA-based Engineering Tech Lead, Product Owner, and Quality Assurance partners, you will connect production insights with technical roadmap priorities.

The opportunity combines hands-on Site Reliability Engineering (SRE) with technical squad leadership. There's an initial monitoring setup to build from, but it's a great opportunity to evaluate what exists, form your own point of view, and define where observability needs to go. From there, you'll shape the future support squad for a dedicated product used across global advertising campaigns, while also owning advanced L2+ and L3-oriented support, incident response, and the service-level and business-as-usual work that keeps the system running.

• Own production stability, system health, and observability for a mission-critical campaign governance and compliance platform running on GCP.
• Define and advance the observability strategy using GCP Cloud Logging, Cloud Monitoring, Error Reporting, Prometheus, PromQL, and suitable service level indicators and objectives.
• Lead incident response, post-incident reviews, and end-to-end root cause analysis, partnering with the EMEA Engineering team on permanent remediation.
• Diagnose and resolve complex, intermittent, and high-priority incidents across application, database, infrastructure, and networking layers.
• Read, debug, and implement minor fixes and patches directly within the existing Python production codebase.
• Monitor execution flows, performance, data refreshes, automated checks, and recurring compliance reporting to ensure reliable system operation.
• Identify opportunities to automate manual support activity, develop and maintain runbooks, and reduce operational toil.
• Provide technical leadership to the L2+ support squad through coaching, knowledge sharing, prioritization, and effective handovers.
• Partner with Product, Engineering, and Quality Assurance teams to assess operational risk, improve release and change management, and influence technical roadmap decisions.

• Advanced education in computer science, software engineering, information technology, or a related technical discipline, or equivalent practical experience.
• 7+ years of experience in site reliability engineering, Dev Ops, or infrastructure/platform engineering roles, including meaningful experience operating and troubleshooting production systems at scale.
• Deep, hands-on experience supporting enterprise systems on Google Cloud Platform, including Compute Engine, Google Kubernetes Engine, Cloud SQL, Big Query, Pub/Sub, Firestore, Cloud Functions, Identity and Access Management, and virtual private cloud networking.
• Strong, current Python proficiency, including the ability to read, debug, and implement fixes directly within a shared production codebase.
• Strong Python and Bash scripting skills for automating support tasks, parsing logs, developing operational tools, and reducing manual effort.
• Complex production troubleshooting and root cause analysis experience across distributed systems, including leadership of post-incident reviews.
• High proficiency with GCP Cloud Logging, Cloud Monitoring, Error Reporting, Prometheus, and PromQL, including establishing service level indicators and service level objectives.
• Strong experience with Docker and Kubernetes, particularly deploying, managing, and troubleshooting applications running in Google Kubernetes…