Cloud Software Engineer - AI Engineering

Employment Type: Full time

Position Overview:

CrowdStrike is seeking a Cloud Software Engineer to join our growing Charlotte AI Engineering Team in Charlotte. This role involves building globally distributed, fault-tolerant, and highly scalable cloud ecosystems utilizing Golang and Large Language Models (LLMs). While prior experience with Golang and LLMs is beneficial, it is not a strict requirement. CrowdStrike is a leader in computer security, but prior experience in the security industry is not necessary for this position; training and mentorship in security topics will be provided. A strong interest in CrowdStrike's mission and a willingness to engage with customer and product team needs are expected.

About the Product:

CrowdStrike has been a pioneer in AI since introducing AI-powered protection over a decade ago, replacing traditional signature-based antivirus. Our platform is deeply integrated with AI, and we have recently leveraged advancements in Large Language Models to create Charlotte AI, a generative AI security analyst. Charlotte AI utilizes the world's most accurate security data and is integrated with CrowdStrike's threat hunters, managed detection and response operators, and incident response experts. This innovative engine empowers users of all skill levels to leverage the Falcon Platform's data, reducing security operations complexity and cost.

Learn more about Charlotte AI: https://www.crowdstrike.com/products/charlotte-ai/

Responsibilities:

• Advance backend microservices, identifying and resolving critical issues to implement effective solutions.
• Utilize established CrowdStrike tools and services to build cloud solutions for detecting and countering targeted cyber assaults.
• Innovate with Large Language Models to develop and enhance Charlotte AI's capabilities.
• Construct and maintain data pipelines, perform data upkeep, and contribute to the training and implementation of custom LLMs.
• Collaborate across various teams to brainstorm, define, and develop solutions.
• Commit to continuous learning and self-improvement.
• Stay informed about customer challenges and actively seek ways to improve support.
• Emphasize top-tier coding quality through adherence 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 range of technologies and absorb knowledge from them.
• Continuously explore opportunities to refine product architecture, knowledge models, user experience, performance, and reliability.
• Take ownership of work end-to-end: develop, test, deploy, and monitor changes with autonomy.
• Thrive in an environment that highly values trust.

Requirements:

• Degree in Computer Science or equivalent professional experience in data structures, algorithms, and distributed systems.
• Prior work experience in relevant areas.