Sr. Automation Engineer, Falcon Complete (Remote)

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. 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: CrowdStrike is looking for a Cloud Software Engineer to join our growing Falcon Complete AI Engineering Team. Our new colleague will be responsible for designing, building, and deploying distributed, fault-tolerant, and highly scalable cloud ecosystems and automation services using Golang, Python, and Large Language Models. 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 need [... source excerpt omitted ...] integrates LLM technologies, AI context engineering, and agentic automation frameworks—all deployed as resilient, horizontally-scalable services in our cloud infrastructure. What You'll Do: Advance backend microservices, pinpointing and addressing critical concerns for analyst operations. Design and implement agentic automation frameworks that reduce repetitive analyst tasks and scale security operations. Innovate with Large Language Models to develop and refine AI-powered automation capabilities within the Falcon Complete team. Construct and maintain data pipelines, engage in data upkeep, and contribute to the training and implementation of custom LLMs. Build AI-powered [... source excerpt omitted ...] , performance, and reliability. Own your work with autonomy, end to end: develop, test, deploy and monitor your changes. Thrive in an environment that highly values trust. What You'll Need: Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems). Experience with Language Models, Data Science, Data Engineering. Prior work experience with big data and microservices. Understanding of scalability and distributed systems i.e. sharding, partitioning, concurrency, etc. Experience building and deploying services that handle production traffic at scale. Production Kubernetes experience (deployments, Helm, ingress, horizontal pod