Sr. Engineer - Risk Platform (Hybrid)
Role details
Job location
Tech stack
Job description
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 proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. 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:
As part of CrowdStrike'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.
Technical Excellence & Innovation:
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.
Leadership & Impact:
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 or Redmond, WA requiring 2-3 days in office.
What You'll Do:
- 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
Requirements
- 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)
- 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