GitLab

Senior Backend Engineer- Monitoring and Anomaly Detection (Monetization)

Rol remoto de Data Engineering con fit claro de ubicación del candidato.

PublicadoAgregado recientemente

Países elegibles1 país aceptado

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

India

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

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

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.

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 Siphon and 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.