Sr. Software Engineer - Sensor - Cloud Runtime Protection; Hybrid
Listed on 2026-07-07
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Software Development
Cloud Engineer - Software, DevOps, Software Engineer
Software Development Engineer
As a global leader in cybersecurity, Crowd Strike 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 Crowd Strike 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. Crowd Strikers 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 Crowd Strikers 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.
This is a Software Development Engineer role on the Cloud Runtime Protection team that builds the core of the Crowd Strike Falcon platform: the lightweight sensor. You will be at the forefront of securing the next generation of cloud-native and AI workloads. Leveraging cutting-edge technologies like eBPF, you will design and implement critical, high-performance features in the sensor. Your innovations will extend the Falcon platform's unparalleled power to deliver seamless visibility, advanced detection, and robust prevention for the emerging threat landscape of Artificial Intelligence and Machine Learning infrastructure running across millions of systems in dynamic environments like Kubernetes.
Join us to defend the cloud's most sensitive, mission-critical operations.
This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations. What You'll Do:
- Build comprehensive runtime security solutions for Cloud and AI workloads deployed at scale
- Design and develop highly scalable and highly performant Linux system software components for security
- Ensure systems and components reliability and performance through monitoring, testing, and debugging. Debug product issues found through test or customer cases to identify root cause and use the input to improve tests.
- Work closely with a team of engineers to support and continue a culture of high product quality and excellence. Collaborate with cross-functional teams to integrate sensor and cloud solutions.
- Work collaboratively with product and release management to control risk, improve quality, and streamline our release cycles
- Participate in code reviews and provide technical guidance to team members.
- Participate in engineering best practices, including topics like secure coding, testing paradigms, debugging, performance measurement, code reviews, CI/CD and OS internals, to ensure that our sensor code is fast and reliable
- Lead strategic technical initiatives focusing on AI workloads, VMs, Containers and Orchestrators security in multiple public and private cloud environments
- Other projects as assigned
What You'll Need:
- 10+ years of experience working on product features on Linux or Unix in C/C++ with the following characteristics: high concurrency requirements needing strong use of multi-threading, high reliability requirements, detailed requirements on low-level operating characteristics (memory usage, efficient performance, correct conformance to external standards)
- A minimum of a Bachelor Degree or higher in Computer Science, Computer Engineering or a equivalent technical field.
- Experience developing Kernel modules for Linux
- Experience developing production eBPF code for security or networking
- Experiences in programming cloud native workload using public cloud platforms, Private Cloud Platforms and container technologies (like…
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