Director, Engineering - Data Infrastructure & Reliability at CrowdStrike in New York, NY

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 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 Role: CrowdStrike's Data Platform is the foundation beneath Falcon and Next-Gen SIEM: the ingestion, streaming, storage, and query systems that take in almost 3 trillion events per day, at millions of events per second, and make them searchable in seconds. It spans multiple clouds and regions, including sovereign and regulated environments, and it holds petabytes of security telemetry that customers rely on in the middle of active investigations. We set a high bar for that platform. Reliability, cost efficiency, and provable compliance are engineering requirements here rather than afterthoughts, and we are raising that bar again as we move the organization toward domain ownership, data as a product, self-serve tooling, and federated governance. We support planetary scale and our systems are stateful and order-dependent, which puts them outside what generic cloud build automation is designed for. Validating a change means tracing real data from the sensor through ingestion to query rather than exercising a service in isolation. The largest cost levers are spread across every team that queries or stores data. Each new sovereign region has to prove residency and controls on its own evidence. Work like this is worth far more solved once, well, and for everyone than solved separately on six teams. We are forming a centralized Data Platform Enablement team to own that category of work, and we are hiring its founding engineering leader. You will start by hiring and forming a small, senior team, then grow it into a multi-team organization as the charter expands. The team works as a horizontal function outside individual product team scope, in three modes. It builds platform-wide automation, tooling, and test infrastructure. It partners hands-on with individual data platform teams. And it enables the rest of the organization through guardrails, best practices, and self-service tooling. Every hour your team spends on cross-cutting reliability, testing, and cost work is an hour another data platform team gets back for work in its own domain. The reach of this role is wider than its headcount. You will not own the product domains, but you will answer for reliability, cost, and compliance outcomes across all of them, which means most of your influence has to come from somewhere other than your reporting line. This one suits someone who would rather build a function than inherit one. This role is hybrid, linked to one of the posted locations: Austin, TX; Sunnyvale, CA; Redmond, WA; or NY, NY. What You'll Do: Organizational Leadership & Team Building Stand up the team: define its operating model, hire net-new engineers, and bring in senior operators from existing data pl