Site Reliability Engineer - Monitoring and Anomaly Detection (Monetization)

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., 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.

• Automated billing anomaly detection for event drops, abuse spikes, and transactional discrepancies
• End-to-end telemetry, tracing, and reconciliation across CustomersDot, Salesforce, Zuora, and usage and billing pipelines

What you’ll do

• Design, build, and operate metrics, logs, and traces across the Monetization stack using tools such as Prometheus and Grafana.
• Implement automated detection for billing, data, and event anomalies, and route alerts to the designated feature teams.
• Develop reconciliation and data integrity checks across usage and billing pipelines.
• Define and track service reliability targets (SLOs) and service level indicators (SLIs) to measure reliability, write runbooks, and take part in incident handling.
• Explore artificial intelligence and machine learning techniques to predict system anomalies and accelerate resolution.
• Review merge requests and offer feedback to other Monetization engineers.
• Collaborate with Product, Finance, Support, and other partners to turn operational needs into reliable tooling., 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]., What is your current country of residence?* Select… Are you subject to any employment agreements and/or post-employment restrictions with your current employer or a past employer?* Select… It is important to us to create an accessible and inclusive interview experience. Please let us know if there are any adjustments we can make to assist you during the hiring and interview process. What is your GitLab username? Will you now or in the future require sponsorship for a visa to remain in your current location?* Select… Have you previously worked at or consulted for GitLab?* Select… How many years of professional, hands-on experience do you have building production applications in Ruby on Rails or Python?* Select… Is your current location Bangalore?* Select… Which of the following do you have professional experience with?* Select…

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• Professional experience with Ruby on Rails.
• A background in site reliability or observability engineering, including monitoring, alerting, SLOs, SLIs, runbooks, incident handling, and tools such as Prometheus, Grafana, and OpenTelemetry.
• Experience building anomaly detection, monitoring, or risk management tooling.
• Exposure to data stores for reporting and insights, especially ClickHouse, and the change data capture and event streaming pipelines that feed them, such as NATS JetStream.
• Experience with billing, financial, or other business-critical systems.
• Experience owning a project from concept to production, including proposal, discussion, execution, and monitoring.
• 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.
• Additional relevant experience includes working knowledge of Python for anomaly detection and data work, and experience with Zuora or Salesforce.

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.

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. Co-create the future with us as we build technology that transforms how the world develops software.

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