About The Company CrowdStrike is a global leader in cybersecurity dedicated to protecting organizations from breaches and cyber threats. Since its inception in 2011, the company has committed to redefining modern security by leveraging an AI-native platform capable of processing nearly 3 trillion events daily.

CrowdStrike’s mission-driven approach focuses on safeguarding people, processes, and technologies across various industries, ensuring business continuity and community safety. The organization is renowned for its innovative use of artificial intelligence and machine learning to proactively identify and mitigate security risks. CrowdStrike fosters a culture of flexibility, autonomy, and responsible AI adoption, encouraging employees to experiment, innovate, and build expertise in cutting-edge security solutions.

With a diverse and talented workforce, CrowdStrike continues to drive advancements in cybersecurity, making it a trusted partner for organizations worldwide.

About The Role CrowdStrike is seeking a highly skilled Principal Data Engineer specializing in Large Language Models (LLMs) and AI platforms to join our expanding Data Science Platform Engineering team. This leadership role involves designing, building, and deploying advanced data infrastructure that supports our next-generation AI-driven security products.

The ideal candidate will possess extensive hands-on experience with LLM integration, agentic workflows, and harnessing AI agents to develop scalable, impactful solutions. As a key leader, you will champion engineering excellence by delivering high-quality, efficient code, mentoring team members, and enhancing the team’s technical capabilities. The role requires managing large-scale systems approaching Exabyte levels of data, emphasizing best practices in DevSecOps, distributed data processing, and AI infrastructure.

Your expertise will directly influence the development of autonomous security features and scalable AI solutions that protect our customers and advance CrowdStrike’s position as a cybersecurity innovator.





Qualifications

- 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 or Platform Engineering
- At least 3 years of experience architecting and building AI/ML platform solutions at large scale
- Hands-on experience with Large Language Models (fine-tuning, prompt engineering, deployment)
- Proficiency in LLM-related frameworks such as LangChain, LlamaIndex
- Expertise in high-level programming languages (Python, JVM technologies)
- Deep knowledge of distributed data processing frameworks (Spark, Dask, Flink)
- Strong cloud platform experience (AWS, GCP, OCI) and related data services
- Containerization and orchestration skills (Docker, Kubernetes)
- Experience with message queuing and streaming technologies (Kafka, Pulsar)
- Familiarity with Data Warehousing (Snowflake, BigQuery) and Data Orchestration tools (Airflow, Kubeflow)
- Demonstrable leadership abilities and experience mentoring engineering teams
- Proven track record in designing resilient, scalable, and high-performance data systems

Responsibilities

- Architect, develop, and optimize data platforms and pipelines tailored for LLMs, Retrieval-Augmented Generation (RAG), and autonomous AI agent systems at Exabyte scale
- Lead the deployment and adoption of agentic workflows and harnessing techniques to enable autonomous security features
- Design scalable, fault-tolerant, and cost-effective data solutions emphasizing rapid iteration and high-quality delivery
- Write clean, performant, and well-tested production code, ensuring fast shipping without sacrificing quality




- Provide technical leadership in data modeling, normalization, and semantic cataloging for AI/ML workloads
- Establish best practices for MLOps/DataOps, including monitoring, observability, and zero-touch recovery mechanisms for AI services
- Mentor engineers through technical workshops, design reviews, and knowledge sharing on AI platform technologies
- Collaborate with Data Scientists, Product Managers, and engineering teams to transition research prototypes into production-ready services
- Oversee the full lifecycle of critical data services from development to deployment and ongoing monitoring

Benefits

- Competitive salary with equity awards and performance-based bonuses
- Comprehensive health, dental, and mental wellness programs
- Generous paid vacation, holidays, and paid parental/adoption leave
- Opportunities for professional development and continuous learning
- Employee resource groups, volunteer programs, and community engagement activities
- Vibrant office workplace with world-class amenities (for onsite roles)
- Recognition as a Great Place to Work globally

Equal Opportunity CrowdStrike is an equal opportunity employer committed to fostering an inclusive environment where all employees and applicants are valued and respected. We do not discriminate based on race, color, creed, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, physical or mental disability, medical condition, genetic information, or any other characteristic protected by law. We support veterans and individuals with disabilities through our affirmative action programs.

All employment decisions, including recruitment, hiring, training, compensation, and advancement, are made based on valid job requirements and individual qualifications. We are dedicated to creating a workplace where everyone can succeed and contribute to our mission of cybersecurity excellence.

📌 Data Engineer (Canada)
🏢 Sundayy
📍 Canada