Site Reliability Engineer

Key Responsibilities: 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.

Skills and Experience: 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, DevOps, 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, BigQuery, 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 Engine. Experience using Terraform for infrastructure as code, tracing infrastructure-level issues, and identifying improvements to infrastructure management. Solid querying and troubleshooting experience across Firestore, BigQuery, PostgreSQL, and MySQL.Experience leading, mentoring, or serving as a technical lead for a squad or technical team, along with strong knowledge of Incident, Problem, and Change Management practices and the software development lifecycle.