Join to apply for the Backend Engineer III - Charlotte AI (Remote, EST) role at Crowd Strike
As a global leader in cybersecurity, Crowd Strike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI‑native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily.
Our customers span all industries, and they count on Crowd Strike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission‑driven company. We cultivate a culture that gives every Crowd Striker both the flexibility and autonomy to own their careers. We’re always looking to add talented Crowd Strikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other.
Ready to join a mission that matters? The future of cybersecurity starts with you.
The Role
Crowd Strike 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. Crowd Strike 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 Crowd Strike's mission and a willingness to engage with the needs of our product teams and customers.
Crowd Strike 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, Crowd Strike introduced Charlotte AI
, a new generative AI security analyst
. It uses the world’s highest‑fidelity security data and it is seamlessly integrated with Crowd Strike’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:
What You'll Do- Advance backend microservices, pinpointing and addressing critical concerns to implement effective solutions.
- Employ established Crowd Strike 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.
- Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems).
- Prior work experience with GenAI, LLMs or Agentic Systems.
- Prior work experience with big data and microservices.
- Understanding scalability and distributed systems i.e. sharding, partitioning, concurrency, etc.
- Bein…
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