<div class="content-intro"><p>GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.</p> <p>The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. <a href="https://www.youtube.com/watch?v=OuZIb5zszQI">Co-create the future with us</a> as we build technology that transforms how the world develops software.</p> <p>*<em>Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.</em></p></div><h2>Backend Engineer, Monitoring and Anomaly Detection (Monetization)</h2> <h2>An overview of this role</h2> <p>The Observability, Monitoring, and Integrations team sits within GitLab's Monetization section and owns end-to-end observability, monitoring, and detection across the systems that power how customers buy and use GitLab. As a Backend Engineer on the Fulfillment Workflow Monitoring (Catch All) team, you'll build and operate telemetry, detection, and reconciliation tooling that identifies billing, data, and event anomalies across CustomersDot, Salesforce, and Zuora before they affect revenue or the customer experience.</p> <p>This is a greenfield team, and you'll help build it from the ground up. You'll shape its operating rhythm, incident handling model, and quality bar while using telemetry, artificial intelligence, and machine learning to proactively detect and resolve issues. Because Monetization changes can directly affect revenue and often involve confidential or financial information, you'll use strong judgment, careful rollout practices, and a high bar for reliability. We're opening this role at the Senior Software Engineer and Staff Software Engineer levels.</p> <ul> <li value="1">Automated billing anomaly detection for event drops, abuse spikes, and transactional discrepancies</li> <li value="2">End-to-end telemetry, tracing, and reconciliation across CustomersDot, Salesforce, Zuora, and usage and billing pipelines</li> </ul> <h2>What you’ll do</h2> <ul> <li value="1">Design, build, and operate metrics, logs, and traces across the Monetization stack using tools such as Prometheus and Grafana.</li> <li value="2">Implement automated detection for billing, data, and event anomalies, and route alerts to the designated feature teams.</li> <li value="3">Develop reconciliation and data integrity checks across usage and billing pipelines.</li> <li value="4">Define and track service reliability targets (SLOs) and service level indicators (SLIs) to measure reliability, write runbooks, and take part in incident handling.</li> <li value="5">Explore artificial intelligence and machine learning techniques to predict system anomalies and accelerate resolution.</li> <li value="6">Review merge requests and offer feedback to other Monetization engineers.</li> <li value="7">Collaborate with Product, Finance, Support, and other partners to turn operational needs into reliable tooling.</li> </ul> <h2>What you’ll bring</h2> <ul> <li value="1">Professional experience with Ruby on Rails.</li> <li value="2">A background in site reliability or observability engineering, including monitoring, alerting, SLOs, SLIs, runbooks, incident handling, and tools such as Prometheus, Grafana, and OpenTelemetry.</li> <li value="3">Experience building anomaly detection, monitoring, or risk management tooling.</li> <li value="4">Exposure to data stores for reporting and insights, especially ClickHouse, and the change data capture and event streaming pipelines that feed them, such as Siphon and NATS JetStream.</li> <li value="5">Experience with billing, financial, or other business-critical systems.</li> <li value="6">Experience owning a project from concept to production, including proposal, discussion, execution, and monitoring.</li> <li value="7">Clear, concise communication about complex technical, architectural, and organizational problems in English, with the ability to propose thorough, iterative solutions in a remote and largely asynchronous work environment.</li> <li value="8">Additional relevant experience includes working knowledge of Python for anomaly detection and data work, and experience with Zuora or Salesforce.</li> </ul> <h2>About the team</h2> <p>You'll report to the Engineering Manager, Observability, Monitoring, and Integrations. Our team works asynchronously, with regular planning and retrospectives, and we jointly manage deployments, incident management, testing, and safe rollouts. For more on how Monetization works, see [Link: Monetization Sub-department Handbook].</p><div class="content-conclusion"><h4><strong>How GitLab Supports Full-Time Employees</strong></h4> <ul> <li><a href="https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/">Benefits to support your health, finances, and well-being</a></li> <li><a href="https://handbook.gitlab.com/handbook/people-group/time-off-and-absence/time-off-types/#flexible-paid-time-off-pto">Flexible Paid Time Off </a></li> <li><a href="https://handbook.gitlab.com