Senior Automation Engineer, Falcon Complete

CrowdStrike

Cloud Software Engineer developing automated solutions using AI and cloud technologies for CrowdStrike's security platform. Collaborating in a remote team to enhance security operations and analytical capabilities.

Posted 5/15/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $140,000 - $215,000 per yearWebsite

Tech Stack

Tools & technologies

AWSDistributed SystemsKubernetesMicroservicesNoSQL

About the role

Key responsibilities & impact

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

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 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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

microservicesautomation frameworksLarge Language Modelsdata pipelinesCI/CD pipelinesGitOps workflowsKubernetesAWSdatabasesmessage queue systems

Soft Skills

collaborationmentoringautonomytrustagile environmentproblem-solvingcommunicationcommitmentquality focusiterative programming

Certifications

Degree in Computer Science