Sr. Automation Engineer, Falcon Complete (Remote)

CrowdStrike is a global leader in cybersecurity, focused on stopping breaches with advanced AI-native platforms. The Sr. Automation Engineer will design, build, and deploy distributed cloud ecosystems and automation services, enhancing security operations through innovative AI technologies.

Responsibilities:

• 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 automation services leveraging LLMs, prompt engineering, and AI context engineering techniques
• Implement CI/CD pipelines and GitOps workflows for automated deployment across CrowdStrike's Kubernetes infrastructure
• Collaborate with SOC analysts and engineering teams to identify high-value automation opportunities and devise solutions
• Emphasize top-tier coding quality by adhering to best practices, rigorous testing, and thorough logging and metrics
• Work within a collaborative and agile team environment
• Contribute to mentoring fellow engineers across a spectrum of technologies and also absorb knowledge from them
• Constantly explore ways to refine product architecture, knowledge models, user experience, 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

Requirements:

• 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 autoscaling)
• Hands-on AWS experience (VPC, IAM, load balancers, Lambda, and related services)
• Strong understanding of databases (relational and NoSQL) and message queue systems
• Engineering best practices including testing, code reviews, observability, and resilient architecture
• The ability to thrive in a test-driven, collaborative, and iterative programming environment
• The skills to meet your commitments on time and produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration
• Existing exposure to Go, AWS, Cassandra, Kafka, Elasticsearch
• Experience with AI coding tools, prompt engineering, and agentic automation frameworks (LangChain, LangGraph, Claude, etc.)
• Understanding of incident detection, triage, and response workflows in MDR/SOC environments
• Advanced experience with auto-scaling technologies (KEDA, Kubernetes HPA/VPA)
• CrowdStrike Falcon platform APIs and integration experience
• Monitoring stack experience (Prometheus, Grafana, Thanos)
• Prior experience in the cybersecurity or intelligence fields