Top Cybersecurity Jobs in Seattle, WA

Design and develop AI capabilities for CrowdStrike’s cross-platform endpoint sensor across macOS, Linux, and Windows. Responsibilities include operationalizing machine learning models, building telemetry pipelines for training and inference, integrating features with core OS subsystems, debugging performance and memory issues, and leading architecture, delivery, mentoring, and cross-functional collaboration.

Lead and develop distributed engineering teams building endpoint security sensor components across Windows, macOS, and Linux. Own the team roadmap, architecture, delivery, testing, performance, code quality, and safe releases. Guide systems-level development involving file systems, memory, processes, networking, and OS internals. Coach engineers, drive cross-team alignment, and support secure, reliable, high-performance software deployment at scale.

Own the vision, roadmap, go-to-market strategy, datasets, scoring, findings, automation, integrations, pricing, and reporting for CrowdStrike’s automated AI red-teaming product. Partner with engineering, data science, security research, sales, marketing, and customers to improve AI threat detection and define a new product category. Translate offensive security research and emerging AI threats into product requirements, technical strategy, and prioritized execution.

Own the strategy and roadmap for integrating third-party security controls into CrowdStrike’s Exposure Management platform. Lead connector ecosystems, exploitability scoring, and asset-level risk modeling using vulnerability data, cloud context, control signals, and adversary tactics. Partner with engineering, data science, threat intelligence, customers, and sales teams; define platform metrics; represent the product externally; and mentor product managers. The role requires deep offensive security, vulnerability management, cloud security, API integration, and cross-functional product strategy expertise.

Develop and maintain data-protection features in CrowdStrike Falcon sensor on Windows, working across kernel and user mode. Implement filesystem minifilter drivers, AI-aware detection/protection logic, debug kernel issues, own features end-to-end, and collaborate with cross-functional teams to ship and support endpoint data security capabilities.

Design and implement core features for a lightweight macOS security sensor, collaborate cross-platform with teams, own feature lifecycle from design through delivery, debug low-level memory and performance issues, and mentor distributed engineers while aligning sensor architecture with broader Falcon Host strategy.

Analyze in-the-wild exploits and perform deep reverse engineering to track adversaries. Build detection, automation, and classification frameworks; develop host/network signatures and tooling. Produce high-quality intelligence reports and briefings, collaborate across teams, and contribute to mitigation and large-scale hunting efforts.

Lead strategy and execution for CrowdStrike's Identity Protection product: detect and prioritize identity risk across human and non-human identities, define identity graph models, drive remediation automation and verification, and surface identity risk across the security stack. Use AI agents and rapid prototyping to iterate specs and partner with engineering, customers, and stakeholders to deliver usable identity risk solutions.

Designs and develops lightweight cybersecurity sensor software for Linux, Windows, and macOS. Responsibilities include creating cross-platform endpoint security features, collaborating on architecture and strategic initiatives, debugging memory corruption and performance issues, owning features from design through delivery, and mentoring distributed development teams. The role focuses on OS internals, system-level programming, telemetry, prevention, and high-performance components.

Develop and lead architecture for CrowdStrike’s Windows kernel-mode endpoint security sensor. Build anti-virus and enhanced detection and response features spanning operating system subsystems, support cross-platform development, own features from design through delivery, and collaborate with global teams. The role requires deep C++ and Windows kernel expertise, debugging memory and performance issues, mentoring, and applying AI technologies to improve workflows and decision-making.