Note: The job is a remote job and is open to candidates in USA. CrowdStrike is a global cybersecurity company that uses an AI-native platform to protect organizations from security threats. The Principal Staff Engineer will design, build, and deploy large-scale data infrastructure for LLMs, AI agents, and security products while providing technical leadership, mentoring engineers, and advancing AI platform engineering practices.
Responsibilities
- Write code everyday. Architect, implement, and optimize data platforms and pipelines specifically designed to support LLMs, Neural Networks, Retrieval-Augmented Generation (RAG), and sophisticated AI agentic systems at Exabyte scale
- Drive the adoption and deployment of agentic workflows and agent harnessing techniques to create autonomous, data-driven security features
- Lead by example in hands coding highly scalable, fault-tolerant, and cost-effective data solutions, emphasizing rapid iteration and high-quality deployment
- Write elegant, production-ready code with a focus on performance, maintainability, and testing rigor, ensuring the ability to ship fast without compromising quality
- Provide technical leadership and deep expertise in data modeling, normalization, and semantic cataloging for AI/ML workloads
- Establish best practices for MLOps/DataOps surrounding LLMs, including monitoring, observability, and zero-touch recovery mechanisms for AI services
- Actively mentor engineers, conducting technical workshops, leading design reviews, and strengthening the team's knowledge in cutting-edge AI platform technologies
- Collaborate across the organization with Data Scientists, Product Managers, and other engineering teams to transform research prototypes into robust, production-grade services
- Own the end-to-end lifecycle of critical data services: development, testing, deployment, and monitoring
Skills
- Bachelor's, Master's or PhD in Computer Science, Data Engineering, or a related STEM field, or equivalent practical experience
- 5+ years of progressive experience in Data Engineering/Platform Engineering, with at least 3 years focused on architecting and building platforms for AI/ML or Data Science at massive scale
- Demonstrable hands-on experience in LLM engineering (fine-tuning, prompt engineering, deployment), RAG, and developing agentic workflows
- Proven track record of designing and delivering large-scale distributed systems (sharding, partitioning, concurrency)
- Exceptional ability to write clean, elegant, performant, and well-tested code, coupled with a proactive mindset for delivering results quickly
- Ability to leverage AI aided secure code development
- A thorough understanding of engineering practices, including effective peer code reviews, resilient architecture design, and comprehensive testing paradigms
- Prior experience in a Staff level engineering role, demonstrating technical leadership and mentorship capabilities
- Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes
- Prior experience in the cybersecurity, intelligence, or high-compliance industries
- Contributions to open-source projects related to data or AI/ML
Benefits
- 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
- Eligibility for bonuses
- Equity grants
- Health insurance
- 401k
- Paid time off
Company Overview
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