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
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)
Bonus Points:
Previous experience in cybersecurity, vulnerability management, or GRC domains
Experience with graph databases and complex data modeling for security use cases
Expertise with GenAI/LLM technologies and their application in accelerating development workflows
Experience leveraging AI-assisted coding tools and techniques to enhance productivity and code quality
