Backend Engineer - Data - Exposure Management

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily . Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: Join our Falcon Exposure Management team as we build the next generation of Cyber Asset Attack Surface Management (CAASM) capabilities from the ground up. You'll be architecting and developing cloud-native solutions that help organizations discover, inventory, and assess their entire digital attack surface at scale. This greenfield initiative will revolutionize how enterprises understand and manage their exposure by correlating asset data with comprehensive risk intelligence including vulnerabilities, misconfigurations, and threat indicators. A critical component of this platform involves building sophisticated integration frameworks to seamlessly connect with dozens of third-party security vendors, cloud providers, and enterprise tools - creating a unified view of organizational risk from disparate data sources across the security ecosystem. Learn more about our Falcon Exposure Management platform at: https://www.crowdstrike.com/en-us/platform/exposure-management/ What You’ll Do: Design and implement scalable microservices architecture for our new CAASM platform that unifies asset discovery with risk assessment Build robust APIs and data pipelines to ingest, normalize, and correlate asset data with vulnerability feeds, threat intelligence, and security findings from multiple sources Develop comprehensive integration frameworks to seamlessly ingest data from dozens of third-party security vendors, cloud providers, and enterprise tools Optimize system performance to handle enterprise-scale asset discovery, vulnerability correlation, and risk assessment at speed Develop APIs that enable seamless integration with existing security orchestration and GRC workflows Be part of a global team of highly skilled and passionate engineers, building and maintaining cloud services Collaborate with others across multiple teams to brainstorm, research, and build solutions that are driven by our Product roadmap Understand business and engineering requirements so that you can be proactive in sharing ideas and solutions Have a strong focus on quality of code through best practices, testing, logging and metrics Mentor junior engineers and contribute to technical decision-making across the team Have the autonomy to own your work in a high trust environment What You’ll Need: A minimum of 5 years of production-level experience in building, delivering, and maintaining systems at scale Strong proficiency in Go, Python, or Java with experience in distributed systems Hands-on experience with Kubernetes, Docker, and infrastructure-as-code tools Background in building high-throughput data processing systems and ETL pipelines(Good to have) Experience with event-driven architectures and message queuing systems Familiarity with data correlation techniques and complex relationship modeling Experience with data mapping and transformation languages (CEL, JSONPath, or similar expression languages) Hands-on experience with AI tools such as ChatGPT, Gi ... (truncated, view full listing at source)