Engineering Manager - Cloud & AI Runtime - C++/Linux/eBPF/k8s

CrowdStrike
India - BangalorePosted 7 April 2026

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 also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. 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: This is a Software Engineering Manager  role in the Cloud Runtime Protection team that builds the core of the CrowdStrike Falcon platform: the lightweight sensor. You will be at the forefront of securing the next generation of cloud-native and AI workloads and will be leading a team which leverages cutting-edge technologies like eBPF, and designs and implements 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. What You'll Do: Lead a world class team build comprehensive highly scalable and highly performant linux runtime security solutions for Cloud and AI workloads deployed at scale Engage and influence cutting edge security designs of Major Cloud & AI service Providers through Crowdstrike's engineering partnerships Ensure systems and components reliability and performance through monitoring, testing, and debugging. Lead debugging product issues found through test or customer cases to identify root cause and use the input to improve tests. Work closely with your team 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 and managing 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) Experience in leading, mentoring and growing a team of highly skilled engineers Experience developing production eBPF code for security or networking Experience in programming cloud native workload using public cloud platforms, Private Cloud Platforms and container technologies (like Kubernetes, Docker…) Experience leading a team to ship major features and releases Ability to communicate, collaborate, and work effectively in a distributed team LI ... (truncated, view full listing at source)
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