Sr. Engineer - Risk Platform; Hybrid, Sunnyvale

About the Role:

As part of Crowd Strike's cutting-edge Falcon Exposure Management pillar, you'll be at the forefront of cybersecurity innovation, elevating our industry-leading "stopping breaches" mission to unprecedented levels of sophistication and visibility. You'll architect and build the foundational risk intelligence platform that powers next-generation security insights, leveraging advanced algorithms, AI, and machine learning to deliver comprehensive visibility into risk compounding, attack path analysis, and posture scoring across hybrid environments - spanning hosts, cloud infrastructure, and identity assets.

In this pivotal role, you'll harness cutting-edge technologies to engineer robust backend services that seamlessly ingest massive data streams, execute complex risk calculations, and deliver intelligent remediation automation. Working primarily with Golang microservices architecture and multiple database ecosystems, you'll build scalable solutions that protect organizations worldwide from evolving cyber threats.

As a technical leader, you'll drive end-to-end product delivery, architect scalable solutions, and collaborate with cross-functional stakeholders to define priorities and scope. Your expertise will directly influence the cybersecurity landscape, protecting organizations from sophisticated threats while advancing the state of the art in exposure management.

This role is hybrid in Sunnyvale, CA requiring 2-3 days in office.

• Backend Architecture:
  Design and develop scalable backend services powering both internal and customer-facing web applications with focus on performance and reliability
• Developer Tools:
  Create intuitive command-line utilities and APIs that integrate seamlessly with our platform ecosystem
• Infrastructure Design:
  Architect supporting systems including databases, real-time data pipelines, and monitoring solutions
• Cross-team
  
  Collaboration:
  
  Partner with UX/UI, Sensors, and other teams to deliver integrated solutions with comprehensive documentation
• Operational Excellence:
  Configure advanced monitoring, alerting, and maintain high availability for production services
• Continuous Innovation:
  Drive architectural improvements, optimize performance, and enhance user experience through iterative refinement
• Technical Mentorship:
  Guide junior engineers and contribute to technical decision-making processes
• Service Reliability:
  Ensure robust, healthy service operations with proactive maintenance and incident response capabilities

• 8-10 years of production experience building, delivering, and maintaining large-scale distributed systems processing high-volume data
• Advanced programming expertise in object-oriented languages with strong typing (we primarily use Golang and Python—we'll help you master our stack!)
• Proven microservices experience with designing scalable REST APIs and distributed communication patterns
• Strong cloud infrastructure knowledge with major providers (AWS preferred, plus Azure and GCP) for provisioning, monitoring, and optimization
• Solid distributed systems understanding including concurrency, parallel processing, and scalability patterns (sharding, eventual consistency, caching strategies)
• Message queue proficiency, particularly Kafka (message design, throughput estimation, lag monitoring, and performance considerations)
• Database versatility across RDBMS/SQL (PostgreSQL preferred) and distributed caching solutions like Redis
• System troubleshooting expertise for complex distributed architectures with focus on performance and reliability
• Engineering best practices experience including testing strategies, code reviews, and resilient architecture design
• Collaborative technical skills with ability to mentor junior engineers and contribute to technical decisions
• Bachelor's degree in Computer Science/Engineering or equivalent professional experience
• Strong foundation in algorithms, data structures, and system design principles
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes

• Mach…