Jobs at CrowdStrike

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.

Build and operate a hyper-scale data lake and analytics platform: develop Java microservices and Spark/Scala/Flink pipelines, own a new graph database, design ultra-high-scale data platforms, optimize performance and latency, enable efficient querying for analytics and ML, and collaborate on feature design and stability across teams.

Designs, develops, and maintains high-performance macOS endpoint security sensor software for CrowdStrike’s Falcon platform. Owns features from design through delivery, troubleshoots customer issues, and collaborates with distributed teams. The role requires systems-level macOS development using Swift, C/C++, Objective-C, and Python, with expertise in concurrency, reliability, debugging, security, and performance. Experience with endpoint security, networking, Network Extension, or cross-platform C++ is advantageous.

The role involves designing and developing core features for the Linux sensor in CrowdStrike's security platform, collaborating with teams across the company, and maintaining software quality for cross-platform delivery.

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.

Lead the design and implementation of major cloud architecture components for highly scalable, low-latency services. Collaborate with desktop agent and AI teams, drive technical decisions across stakeholders, and improve engineering practices through design reviews, postmortems, hiring, mentorship, and code reviews. Apply AI technologies to improve decision-making, workflows, efficiency, and business outcomes.

Design and implement backend automated testing and frameworks for Charlotte AI. Validate integrations, build test plans for functional and non-functional needs, execute and analyze tests, track regressions, participate in code reviews, and collaborate with cross-functional teams to ensure reliable, scalable AI-enabled services.

Lead the design and implementation of cloud architecture components and deliver low-latency, highly scalable services. Collaborate with desktop agent and AI teams, drive technical decisions across stakeholders, and improve engineering practices through hiring, design reviews, postmortems, code reviews, and mentorship. Apply AI technologies to improve decision-making, workflows, efficiency, and business outcomes while operating resilient, high-volume Tier-1 cloud systems.

Lead the design and implementation of major cloud architecture components and deliver low-latency, highly scalable services. Collaborate with desktop agent and AI teams, drive technical decisions across stakeholders, and improve engineering practices through design reviews, postmortems, hiring, code reviews, and mentorship. Apply AI technologies to improve decision-making, workflows, efficiency, and business outcomes while operating high-volume, resilient Tier-1 cloud systems.

Lead and grow an engineering team to design, build, and drive adoption of an ontology-based semantic data modeling framework. Define architecture, tooling, governance, integrations with cloud-native data systems, and enablement programs. Partner with product, AI/ML, and security teams to translate domain complexity into reusable ontologies and measurable adoption metrics, mentoring an international team and fostering technical excellence.

Lead multiple engineering teams to design, scale, deploy, and maintain high-scale data plane infrastructure (Spark/Flink and Apache ecosystem) for real-time event processing. Hire, mentor, and grow platform engineering talent; collaborate cross-functionally to deliver scalable data platforms, hybrid cloud/on-prem solutions, and improve performance and reliability for Falcon platform.

Research and implement macOS detection techniques and build them into production endpoint sensor features. Drive projects from concept through release, collaborate cross-functionally, troubleshoot issues, and apply secure, high-performance engineering practices using Swift/C++ and related tools.

Manage a team to enhance cloud security products, focusing on preventing threats through advanced detection and maintaining proactive security controls across various cloud environments.

Responsible for leading a sales team to develop and execute account strategies for Cloud Security, drive revenue growth, and manage relationships with major clients.

Manage 60-70 Enterprise accounts, develop account strategies, negotiate agreements, engage key decision-makers, and collaborate with cross-functional teams to drive sales.

Design and implement Windows sensor detection and prevention features for the Falcon platform. Research attack techniques, develop user- and kernel-mode detection logic, own features from design through release, apply secure coding and CI/CD practices, troubleshoot customer issues, and collaborate across teams to improve telemetry and protections.

Lead architecture and implementation of reliability improvements across CrowdStrike's cloud-native platform. Build shared libraries and services, drive observability and SLO practices, perform performance and cost optimization, run resilience engineering and chaos experiments, automate infrastructure-as-code, mentor engineers, and embed with product teams to deliver scalable, highly reliable distributed systems at organizational scale.

Lead product strategy and delivery for CrowdStrike’s Falcon Data Protection platform. The role requires understanding customer needs, guiding cross-functional engineering, R&D, delivery, marketing, sales, and support teams, managing executive stakeholders, coordinating global go-to-market launches, and delivering large-scale distributed data security solutions. Candidates need extensive complex product leadership experience, data or cloud security expertise, global collaboration skills, AI experience, and occasional international travel flexibility.