Security Engineer - Network Edge Security

About the Role

The Network Edge Security team builds the tools that provide important insights into our API Security posture and trustworthiness of traffic flowing into our systems. Our capabilities use machine learning, streaming analytics, and significant data analysis to provide insights into understanding our network edge risk exposure and the true sources of our request flows. The team's primary focus is up-leveling our API security posture for downstream products and services, as well as responding quickly to emerging threats at the edge.

Responsibilities

• Respond to and mitigate emerging threats and attacks at our network edge by leveraging WAF rules, bot vendors, and other CDN-native technologies.
• Help build out infrastructure that provides better inventory of our network edge security posture.
• Build out and maintain a near-real-time streaming analytics data pipeline and application.
• Contribute to the evolution of our labeling and ML model development.
• Help manage and maintain systems across build, deploy, and production monitoring.
• Work flexibly with programming languages including Java, Kotlin, Python, TypeScript, PySpark, and others as needed.
• Evaluate and build integrations with vendor systems in addition to in-house solutions.
• Develop and implement AI-driven capabilities to automatically classify and mitigate abusive traffic patterns.

Qualifications

Required

• 5+ years of software or security engineering experience developing scalable production software incorporating testing, evaluation, and monitoring.
• Bachelor's degree in Computer Science or equivalent practical experience.
• Proficient in Java, Kotlin, TypeScript, and Python.
• Proficient in data analysis using SQL and Spark.
• Experience implementing and maintaining applications in both a CDN (Cloudflare and Fastly) and Amazon Web Services (AWS) ecosystems.

Preferred

• Significant experience with bot/fraud identification and mitigation systems.
• Familiarity with Snowflake, Databricks, and Datadog.

Application Guidelines

• Candidates may submit up to 9 active applications within a 60-day period.
• Reapplications to the same role are accepted 90 days after a previous application has been reviewed.