Senior Automation Engineer, Falcon Complete

This is a fully remote position, open to applicants in United States.

📋 Description

• Enhance backend microservices by identifying and resolving key issues for analyst operations.

• Create and implement automation frameworks that minimize repetitive tasks for analysts and scale security operations.

• Innovate with Large Language Models to establish and improve AI-driven automation functions within the Falcon Complete team.

• Develop and maintain data pipelines, participate in data management, and assist in the training and deployment of custom LLMs.

• Construct AI-driven automation services utilizing LLMs, prompt engineering, and AI context engineering strategies.

• Set up CI/CD pipelines and GitOps workflows for automated deployment across CrowdStrike's Kubernetes ecosystem.

• Collaborate with SOC analysts and engineering teams to pinpoint high-impact automation prospects and create solutions.

• Maintain exceptional coding standards by following best practices, rigorous testing, and comprehensive logging and metrics.

• Engage in a collaborative and agile team atmosphere.

• Mentor fellow engineers across various technologies while also learning from them.

• Continuously seek improvements in product architecture, knowledge models, user experience, performance, and reliability.

• Take full ownership of your work, from development to monitoring, ensuring autonomy throughout.

• Flourish in an environment that emphasizes trust.

⛳️ Requirements

• Bachelor's degree in Computer Science or relevant professional experience in data structures, algorithms, or distributed systems.

• Proficiency with Language Models, Data Science, and Data Engineering.

• Background in big data and microservices.

• Understanding of scalability and distributed systems, including sharding, partitioning, and concurrency.

• Experience in building and deploying services capable of managing production traffic at scale.

• Practical experience with Kubernetes (deployments, Helm, ingress, horizontal pod autoscaling).

• Hands-on experience with AWS services (VPC, IAM, load balancers, Lambda, and related services).

• Strong knowledge of databases (both relational and NoSQL) and messaging queue systems.

• Commitment to engineering best practices, including testing, code reviews, observability, and resilient architecture.

• Ability to excel in a test-driven, collaborative, and iterative programming environment.

• Skills to meet deadlines and deliver high-quality software that is unit tested, code reviewed, and regularly integrated for continuous delivery.

🏝️ Benefits

• Industry-leading compensation and equity awards.

• Comprehensive wellness programs addressing both physical and mental health.

• Generous vacation and holiday policies for relaxation and recharge.

• Paid parental and adoption leave policies.

• Opportunities for professional development available to all employees, regardless of their role or level.

• Employee Networks, local groups, and volunteer opportunities to foster connections.

• Dynamic office culture featuring world-class amenities.

• Great Place to Work Certified™ status globally.