[Hiring] Principal Staff Engineer, AI Platform Research, Data Science @CrowdStrike

Role Description

CrowdStrike is looking for a hands-on Staff Data Engineer with deep expertise in Large Language Models (LLMs), Agents and AI platforms to join our growing Data Science Platform Engineering Team. You will be a key technical leader, responsible for designing, building, and deploying cutting-edge data infrastructure that powers our next generation of AI-driven security products. This role requires significant hands-on experience in LLM integration, agentic workflows, and agent harnessing to deliver high-impact, scalable solutions.

Your responsibilities will include:

• Writing code every day.
• Architecting, implementing, and optimizing data platforms and pipelines specifically designed to support LLMs, Neural Networks, Retrieval-Augmented Generation (RAG), and sophisticated AI agentic systems at Exabyte scale.
• Driving the adoption and deployment of agentic workflows and agent harnessing techniques to create autonomous, data-driven security features.
• Leading by example in hands-on coding of highly scalable, fault-tolerant, and cost-effective data solutions.
• Writing elegant, production-ready code with a focus on performance, maintainability, and testing rigor.
• Providing technical leadership and deep expertise in data modeling, normalization, and semantic cataloging for AI/ML workloads.
• Establishing best practices for MLOps/DataOps surrounding LLMs.
• Actively mentoring engineers and conducting technical workshops.
• Collaborating across the organization with Data Scientists, Product Managers, and other engineering teams.
• Owning the end-to-end lifecycle of critical data services: development, testing, deployment, and monitoring.

Qualifications

• 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.
• 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.

Requirements

• Expert-level proficiency in at least one programming language: Python, Go, Rust, or JVM technologies.
• MLOps tools (MLflow, SageMaker, Vertex AI); agentic frameworks (LangChain, LlamaIndex).
• Distributed Processing: Spark, Dask, or Flink.
• Cloud: AWS, GCP, or OCI and related data services.
• Containers & Orchestration: Docker, Kubernetes.
• Streaming: Kafka, Pulsar.
• Data Warehousing & Orchestration: Snowflake, BigQuery, Airflow, Kubeflow.

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.