CrowdStrike is looking for a Cloud Software Engineer to join our growing Charlotte AI Engineering Team. Our new colleague will be responsible for building globally distributed, fault-tolerant, and highly scalable cloud ecosystems using Golang and Large Language Models. Prior experience with Golang and LLMs is not required, but will be helpful.

CrowdStrike is a computer security company, but we do not require candidates for this role to have prior security industry experience. We will mentor and train in security topics as needed. We do expect a strong interest in CrowdStrike's mission and a willingness to engage with the needs of our product teams and customers.

This is a hybrid position based out of our office in NYC. Candidate should be comfortable visiting the office twice a week once the development center is established.

About the Product:

CrowdStrike has pioneered the use of artificial intelligence (AI) since we first introduced AI-powered protection to replace signature-based antivirus over 10 years ago, and we’ve continued to deeply integrate it across our platform since.

Using the recent advances in Large Language Models technologies, CrowdStrike introduced Charlotte AI, a new generative AI security analyst. It uses the world’s highest-fidelity security data and it is seamlessly integrated with CrowdStrike’s industry-leading threat hunters, managed detection and response operators, and incident response experts. Charlotte AI engine represents a first of its type offering empowering users of all skill levels to leverage the data available in the Falcon Platform,while reducing security operations complexity and cost.

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

What You'll Do:

• Advance backend microservices, pinpointing and addressing critical concerns to implement effective solutions.

• Employ established CrowdStrike tools and services to build cloud solutions for detecting and countering targeted cyber assaults.

• Innovate with Large Language Models to develop and refine Charlotte AI's capabilities.

• Construct and maintain data pipelines, engage in data upkeep, and contribute to the training and implementation of custom LLMs.

• Collaborate across various teams to brainstorm, define, and devise solutions.

• Commit to ongoing learning and self-improvement.

• Stay attuned to our customers' challenges, always seeking ways to enhance support.

• 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.

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 scalability and distributed systems i.e. sharding, partitioning, concurrency, etc.

• Being a team player.

• A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews 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.

Tech Stack (not mandatory to know everything; a robust learning capacity is essential):

• Go (Golang)

• Python

• Docker

• Kubernetes

• AWS

• Redis / S3 / EC2 / IAM

• Kafka

• GIT

• Cassandra

• ElasticSearch

Bonus Points:

• Existing exposure to Go, AWS, Cassandra, Kafka, Elasticsearch.

• Prior experience in the cybersecurity or intelligence fields.

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