System Engineer (Behavioral Analysis)

• Cloudflare One brings together secure access, network connectivity, and data protection
• Our products generate massive amounts of signals about how people and agents access applications, use the network, and handle data—but a security practitioner needs more than isolated events
• They need to understand what happened, whether it is unusual, why it matters, and what to investigate next
• The UEBA (User and Entity Behavior Analytics) team builds the systems behind those answers
• We ingest and evaluate Cloudflare One signals, produce high fidelity user-risk events, maintain risk scores, and make that information available to customer-facing experiences and other Cloudflare services
• Today, we are focused on expanding our behavioral detections and improving the clarity of the resulting investigations and integrations
• As a Systems Engineer, you will build and operate production services in this pipeline
• You might implement a detection for an unusual pattern of DNS activity or data movement, improve how events contribute to a user’s risk score, or make risk-event history easier for customers to investigate
• You will own well-defined projects through design, implementation, testing, rollout, and operational follow-through, working with other engineers, Product, and partner teams across Cloudflare
• Build behavioral detections. Turn product requirements and available telemetry into production-ready detections across signals such as Access, Gateway, DNS, device posture, and data protection. Define the data dependencies, evaluation approach, and how you will assess signal quality before release
• Make risk understandable. Help connect detection output to event history, logs, and customer-facing investigations so practitioners can see what triggered a finding and how a user’s risk changed
• Design & Scale Infrastructure: Architect, deploy, and maintain robust distributed systems, focusing on high availability, low latency, and horizontal scalability
• Collaborate across teams. Collaborate with Product and engineers in Access, Gateway, Analytics and Reporting, Logs, and other data-producing or data-consuming teams to agree on event contracts and deliver end-to-end functionality
• Ensure Reliability. Participate in architecture reviews, capacity planning, and proactive system health monitoring to guarantee maximum uptime and resilience

Benefits

• Competitive pay: We offer a competitive total rewards package, where every employee is an owner of our stock.
• Take-what-you-need vacation: We encourage employees to find a comfortable work-life balance by taking as many days off as they need while still being able to perform their jobs satisfactorily. (We really mean it!)
• Paid maternity & paternity leave: Our global parental leave policy allows up to sixteen paid weeks of bonding leave time for all qualifying new parents.
• Employee benefits: We offer a comprehensive benefits package including healthcare, life insurance, short- and long-term disability, pension plans in accordance with the market practice in our locations.
• Commuter program: We are flexible about where we work and value connecting at the office. Our commuter benefits program is in place to support team members’ commute to work via public transportation without the extra cost burden.
• Wellbeing: Global offerings that provide mental health, childcare and family forming support to our employees across our offices.- Clear written and verbal communication, and an ability to work through technical decisions with product and engineering partners
• 3+ years of practical experience with databases and data-intensive services—for example, PostgreSQL, ClickHouse, or comparable relational or analytical stores
• Experience using metrics, logs, traces, profiling, and experiments to understand production behavior and validate improvements
• Strong proficiency in at least one systems programming language (e.g., Go, Rust, C/C++) with a track record of writing clean, maintainable code
• Experience reasoning about event-driven systems: message delivery, duplicate or late events, state, failure recovery, and safe changes to live consumers or APIs
• 3+ years of professional experience building, testing, and operating backend or distributed systems in production
• Bring strong opinions, clear judgment, and a willingness to revise your view when data, users, or production reality prove otherwise
• Experience with security analytics, fraud or abuse detection, identity, Zero Trust, SASE, or network telemetry
• Familiarity with Kafka or other streaming systems; Kubernetes; and high-volume event processing
• Experience with statistical baselines, anomaly detection, time-windowed aggregation, or evaluating false positives and detection coverage
• Familiarity with DNS, HTTP, authentication events, data-loss-prevention signals, or endpoint-security integrations
• Experience with distributed state, caches, object storage, or safe migration of a legacy production service