Senior Backend Engineer – Monitoring and Anomaly Detection

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GitLab

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Secondary Market on 2020-11

Artificial Intelligence • Enterprise • SaaS

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental Leave