Staff Backend Engineer - Monitoring and Anomaly Detection (Monetization)

Lead design, development, and operation of observability and anomaly detection systems for the Monetization stack, focusing on billing, data, and event anomalies affecting revenue and customer experience.

Build and shape the Fulfillment Workflow Monitoring team’s processes including incident response, service level objectives, and rollout practices ensuring reliability in financial-critical systems.

Apply telemetry and machine learning techniques to predict and resolve system anomalies within billing and usage data pipelines involving CustomersDot, Salesforce, and Zuora.

Professional experience with Ruby on Rails, specifically building and operating applications like CustomersDot.

Experience in site reliability or observability engineering including monitoring, alerting, SLOs, runbooks, and incident response.

Experience leading technical direction for observability, monitoring, or anomaly detection systems with demonstrated impact.

Familiarity with observability tools (Prometheus, Grafana, OpenTelemetry) and experience developing anomaly detection or risk management tooling.

Work Experience Required: Not explicitly mentioned in the JD

Experienced engineer with proven senior-level ownership of system reliability and observability in monetization or billing domains involving sensitive financial data.

Technical leadership ability to set direction and elevate team performance on reliability and detection tooling in cross-functional, remote environments.

Comfortable working with and integrating AI/ML techniques into backend monitoring and alerting systems to enhance predictive detection and resolution.