Senior Automation Engineer, Falcon Complete

📋 Description

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

• Create and deploy agentic automation frameworks that minimize repetitive tasks for analysts and expand security operations.

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

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

• Design AI-driven automation services utilizing LLMs, prompt engineering, and techniques for AI context engineering.

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

• Work alongside SOC analysts and engineering teams to pinpoint valuable automation opportunities and create solutions.

• Maintain high coding standards by following best practices, conducting thorough testing, and ensuring adequate logging and metrics.

• Participate in a collaborative and agile team setting.

• Help mentor fellow engineers across various technologies while also gaining insights from them.

• Continuously seek methods to enhance product architecture, knowledge models, user experience, performance, and reliability.

• Take ownership of your work from start to finish: develop, test, deploy, and monitor your changes.

• Flourish in an environment that places a high value on trust.

⛳️ Requirements

• A degree in Computer Science (or relevant professional experience in data structures, algorithms, or distributed systems).

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

• Previous experience with big data and microservices.

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

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

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

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

• Strong understanding of both relational and NoSQL databases, as well as message queue systems.

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

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

• Ability to meet deadlines and deliver high-quality software that is unit tested, code reviewed, and regularly checked in for continuous integration.

🏝️ Benefits

• Leader in market compensation and equity awards.

• Comprehensive physical and mental wellness programs.

• Competitive vacation and holiday policies for rest and rejuvenation.

• Paid parental and adoption leave.

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

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

• Dynamic office culture with world-class amenities.

• Great Place to Work Certified™ globally.