Sr. Engineer - Risk Platform (Hybrid)

About the role

The role is part of CrowdStrike's cutting-edge Falcon Exposure Management pillar, focusing on cybersecurity innovation to elevate the "stopping breaches" mission to new heights of sophistication and visibility.

Technical Excellence & Innovation

• Design and develop scalable backend services for internal and customer-facing web applications, emphasizing performance and reliability.
• Create intuitive command-line utilities and APIs that integrate seamlessly with our platform ecosystem.
• Architect supporting systems including databases, real-time data pipelines, and monitoring solutions.
• Partner with UX/UI, Sensors, and other teams to deliver integrated solutions with comprehensive documentation.
• Ensure operational excellence through advanced monitoring, alerting, and maintain high availability for production services.
• Drive continuous innovation through iterative refinement of architectural improvements, optimizing performance, and enhancing user experience.
• Guide junior engineers and contribute to technical decision-making processes.
• Ensure robust, healthy service operations with proactive maintenance and incident response capabilities.

What You'll Do

• Backend Architecture: Design and develop scalable backend services for 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.

What You'll Need

• 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 (primarily Golang and Python).
• 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).
• 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).
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
• 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.

Bonus Points

• Machine learning or AI implementation experience.
• Elasticsearch expertise for full-text search of logs and event data.
• Cassandra and CQL experience with wide-column databases.
• Graph database knowledge and experience with graph structures (nodes, edges, relationships).
• Cybersecurity industry experience or relevant certifications.
• Docker and Kubernetes experience.
• Open source contributions or technical community involvement.