Principal Data Engineer, LLM​/AI Platforms; Remote

Overview

Crowd Strike is looking for a Principal Data Engineer with deep expertise in Large Language Models (LLMs) and AI platforms to join our growing Data Science Platform Engineering Team. You will be a key leader responsible for designing, building, and deploying cutting-edge data infrastructure that powers our next-generation AI-driven security products.

• 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 cataloguing for AI/ML workloads.
• Establish best practices for MLOps/Data Ops surrounding LLMs, including monitoring, observability, and zero-touch recovery mechanisms for AI services.
• Actively mentor engineers, conduct technical workshops, lead design reviews, and strengthen 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.

• MLOps Tools: MLflow, Sagemaker, Vertex AI
• Agentic workflow frameworks:
  Lang Chain, Llama Index
• High-level coding language:
  Python or JVM technologies
Distributed data processing frameworks:
Spark, Dask, Flink
• Cloud platforms and related data services: AWS, GCP, or OCI
• Containerization and orchestration:
  Docker, Kubernetes
• Message queuing and streaming technologies:
  Kafka, Pulsar
• Data Warehousing:
  Snowflake, Big Query
• Data orchestration:
  Airflow, Kubeflow

• 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.

• Direct experience building, deploying, and managing LLMs in a production environment.
• Prior experience in the cybersecurity, intelligence, or high-compliance industries.
• Contributions to open-source projects related to data or AI/ML.

• 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 worldwide.

Crowd Strike is proud to be an equal-opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative…