Engineering Manager - Data Platform Hybrid, GBR - CrowdStrike

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:

The data engineering team is on a mission to create a hyper scale data lake, which helps find bad actors and stop breaches. The team builds and operates systems to centralize all of the data the falcon platform collects, making it easy for internal and external customers to transform and access the data for analytics, machine learning, and threat hunting. As an engineer on the team you will contribute to the full spectrum of our systems, from foundational processing and data storage, through scalable pipelines, to frameworks, tools and applications that make that data available to other teams and systems.

About the Role:

We’re growing and we're looking for a passionate and experienced Engineering Manager to lead a brand-new Data Replay & Recovery Team within our Data Platform organization. This is a opportunity to build a team and product from the ground up — defining the charter, shaping the technology, and delivering a critical data replay application that directly impacts the reliability and resilience of our platform. You'll collaborate with talented engineers across Data Platform, ML Platform, and DevOps teams, working on large-scale distributed systems that matter. If you thrive in a fast-paced environment, love solving complex big data challenges, and are ready to make a lasting organizational impact, we want to hear from you