Site Reliability Engineer

Overview

Own production stability, system health, and observability for a mission-critical global campaign governance and compliance platform running on Google Cloud Platform, and lead the L2+ support squad.

What you'll do

• 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.

What you'll need

• 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.

Details

• Location: Los Angeles, United States; San Francisco, United States.
• Hybrid approach, with teams in the office around four days a week.
• US base salary range: $75,000 to $180,000 USD.