资深站点可靠性工程师 - 监控与异常检测（变现）

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An overview of this role

The Observability, Monitoring, and Integrations team manages observability, monitoring, and detection for systems that support customer purchasing and use of GitLab. As a Staff Backend Engineer on the Fulfillment Workflow Monitoring (Catch All) team, you'll set the technical direction for the telemetry, detection, and reconciliation tooling that identifies billing, data, and event anomalies across CustomersDot, Salesforce, and Zuora before they can affect revenue or the customer experience.

This is a greenfield team. You'll help build it from the ground up, shaping its operating rhythm, incident response model, and quality bar. You'll use telemetry and machine learning to identify issues early and help resolve them. 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. This role is opening at the Staff Backend Engineer level (grade 8).

• Design, build, and operate observability across the Monetization stack, including metrics, logs, and traces, using tools such as Prometheus and Grafana.

• Implement automated detection for billing, data, and event anomalies, and route alerts to the responsible feature teams.

• Develop reconciliation and data integrity checks across usage and billing pipelines.

• Define and track service level objectives and service level indicators, write runbooks, and take part in incident response to measure and improve Monetization system reliability.

• Explore artificial intelligence and machine learning techniques to predict system anomalies and accelerate resolution.

• Review and offer feedback on merge requests from other Monetization engineers.

• Collaborate with Product, Finance, Support, and other partners to turn operational needs into reliable tooling.

What you’ll bring

• Professional experience with Ruby on Rails, including building and operating applications such as CustomersDot.

• Experience in site reliability or observability engineering, including monitoring, alerting, service level objectives and indicators, runbooks, and incident response.

• Experience setting technical direction for observability, reliability, or detection work and bringing other engineers along.

• Experience building anomaly detection, monitoring, or risk management tooling.

• Familiarity with observability tools such as Prometheus, Grafana, and OpenTelemetry.

• Exposure to analytical data stores such as ClickHouse and the change data capture and event-streaming pipelines that feed them, including NATS JetStream.

• Experience owning projects from concept through production, communicating clearly about complex technical and organizational problems, and proposing iterative solutions.

• Working knowledge of Python for anomaly detection and data work, or experience with billing, financial, or other business-critical systems, including Zuora or Salesforce, is a plus.

• Flexible Paid Time Off

• Team Member Resource Groups

• Equity Compensation & Employee Stock Purchase Plan

• Growth and Development Fund

• Parental Leave

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.

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