Senior Automation Engineer, Falcon Complete

🕒 May 14

🇺🇸 United States – Remote

💵 $140k - $215k / year

⏰ Full Time

🟠 Senior

🤖 QA Automation Engineer

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CrowdStrike

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2011

🔒 Cybersecurity

☁️ SaaS

🤖 Artificial Intelligence

Cybersecurity • SaaS • Artificial Intelligence

CrowdStrike is a cybersecurity company that provides cloud-based security services to stop breaches. It is recognized as a leader in endpoint protection, identity and cloud security, and managed detection and response. CrowdStrike's platform, Falcon, integrates artificial intelligence to offer real-time visibility, detection, and protection against sophisticated cyber threats. The company is lauded for its effectiveness in securing networks and data, making it a trusted partner for businesses worldwide.

📋 Description

• 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.

🏖️ Benefits

• Market leader in compensation and equity awards • Comprehensive physical and mental wellness programs • Competitive vacation and holidays for recharge • Paid parental and adoption leaves • Professional development opportunities for all employees regardless of level or role • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections • Vibrant office culture with world class amenities • Great Place to Work Certified™ across the globe