Engineer III, MacOS Sensor (Hybrid, Redmond)
CrowdStrike
- Location
- USA Redmond, WA
- Work model
- Hybrid
- Level
- Mid
- H-1B history
- 35 approvals (FY2023)
- Posted
- Aug 14, 2026
Skills
About this role
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 Team
Content Development (CD) is a team within the Endpoint Protection area of CrowdStrike—the area responsible for enabling detection and prevention of malicious behaviors on the Falcon Platform. The CD team focuses on strategic, forward-leaning research into new Falcon Sensor capabilities to identify the tactics and techniques used by adversaries. We accomplish this by focusing on OS security and internals across all major supported platforms (Windows, macOS, and Linux) and exposing the right data to the sensor in a supportable and performant manner. Most of our projects involve months of research, planning, coordination, and implementation to be successful. We currently support several key Falcon Sensor technologies that detection and response teams leverage to increase telemetry, detections, and preventions on the platform. Location: This is a hybrid role based out Redmond, WA, Sunnyvale, CA, Austin, TX, NYC, or Toronto with an expectation of being in the office at least 2 days per week.
About the Role
In this role, you will research and develop techniques for detecting malicious activity on macOS systems, then build them into production-level solutions for deployment in the endpoint sensor. The role is a split of research and implementation, working alongside a small and nimble group of macOS engineers and often leveraging shared code with other sensor platforms such as Windows and Linux. Successful engineers in this role have a strong software engineering background, deep macOS expertise, and significant experience in the security space. As an Engineer III on our team, you'll serve as a key resource and subject matter expert for engineers across teams and the broader company, collaborating with a wide range of teams as you drive your own initiatives and contribute to other projects. You'll be expected to make meaningful contributions across the full development lifecycle — from initial concept through design, implementation, release, and post-release support. We pride ourselves on a quality-first mindset and are looking for engineers who thrive on being challenged and take ownership of what they build.
What You'll Do
Design and build detection logic and systems leveraged across teams within CrowdStrike to detect cyber attackers and stop breaches Research techniques for detecting malicious activity, including some reverse engineering and/or big-data analysis Own features from design to delivery, developing them into production-level solutions for deployment in the endpoint sensor Extend our existing codebase using Swift, C++, Python, and other tools and DSLs (domain specific languages) as appropriate Apply engineering