CrowdStrike is looking to build globally distributed, fault-tolerant, and highly scalable cloud ecosystems using Golang and Large Language Models to enhance its generative AI security analyst, Charlotte AI.
Requirements
- Prior work experience with big data and microservices.
- Understanding scalability and distributed systems i.e. sharding, partitioning, concurrency, etc.
- 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.
- Existing exposure to Go, AWS, Cassandra, Kafka, Elasticsearch.
- Experience with Language Models, Data Science, Data Engineering.
Responsibilities
- 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.
- Emphasize top-tier coding quality by adhering to best practices, rigorous testing, and thorough logging and metrics.
- Own your work with autonomy, end to end: develop, test, deploy and monitor your changes.
Other
- Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems).
- Being a team player.
- A strong interest in CrowdStrike's mission and a willingness to engage with the needs of our product teams and customers.
- Commit to ongoing learning and self-improvement.
- Stay attuned to our customers' challenges, always seeking ways to enhance support.
