Principal Data Engineer, LLM/AI Platforms

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🌐 États-Unis, Canada – Distant

🇺🇸 États-Unis – Télétravail 🇨🇦 Canada – Télétravail

🏄 California – Distant

🏄 California – Remote

💵 $195 000 - $290 000 / an

⏰ Temps Plein

🔴 Expert

🚰 Ingénieur Data

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CrowdStrike

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Fondée en 2011

🔒 Cybersecurity

☁️ SaaS

🤖 Intelligence artificielle

Cybersecurity • SaaS • Artificial Intelligence

CrowdStrike est une société de cybersécurité qui fournit des services de sécurité cloud pour mettre fin aux intrusions. Reconnue comme un leader de la protection des endpoints, de la sécurité des identités et du cloud, et du Managed Detection and Response (MDR), CrowdStrike propose la plateforme Falcon, qui intègre l’intelligence artificielle pour offrir une visibilité, une détection et une protection en temps réel contre des cybermenaces sophistiquées. L’efficacité de l’entreprise à sécuriser les réseaux et les données en fait un partenaire de confiance pour les entreprises du monde entier.

Description

• Architect, implement, and optimize data platforms and pipelines specifically designed to support LLMs, 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. • Design and implement 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.

🎯 Exigences

• Master’s degree or PhD in Computer Science, Data Engineering, or a related STEM field, or equivalent practical experience • 10+ 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 • A thorough understanding of engineering practices, including effective peer code reviews, resilient architecture design, and comprehensive testing paradigms • Prior experience in a Principal or Staff level engineering role, demonstrating technical leadership and mentorship capabilities.

🏖️ Avantages

• 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