<p>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.</p><br><h3><b>About the Role:</b></h3><p>CrowdStrike is looking for a Senior AI Infrastructure Engineer with expertise in Large Language Models (LLMs) Infrastructure and data platforms to join our growing AI Infrastructure Team. You will be a key leader, helping to design, build, and deploy cutting-edge AI infrastructure that powers our next generation of AI-driven security products. This role requires hands-on experience in LLM infrastructure to support multiple large scale training pipelines and scalable AI-powered systems. You will champion engineering best practices, write high-quality code, and actively mentor and strengthen the team’s technical knowledge and capabilities.</p><p>CrowdStrike is a computer security company, but we do not require candidates for this role to have prior security industry experience. We will mentor and train in security topics as needed. We do expect a strong interest in CrowdStrike's mission and a willingness to engage with the needs of our product teams.</p><p>The scale of our systems and data are approaching Exabytes in size. Experience with extremely large-scale systems, including DevSecOps patterns, practices, and standards are important for this work.</p><h3><br><b><b>What You'll Do:</b></b></h3><ul><li><p>Provision and configure large GPU clusters and compute resources for LLM training, finetuning, and inference workloads.</p></li><li><p>Develop and optimize LLM model-serving infrastructure, including deployment and optimization of various inference frameworks.</p></li><li><p>Lead model lifecycle management including versioning, checkpointing and reproducibility across training and inference deployments.</p></li><li><p>Design and champion robu