About The Company

CrowdStrike is a global leader in cybersecurity, dedicated to protecting organizations, communities, and individuals from cyber threats. Since its inception in 2011, the company has been at the forefront of security innovation, leveraging an AI-native platform that redefines modern security paradigms. Processing nearly 3 trillion events daily, CrowdStrike’s scalable and distributed systems serve clients across various industries, ensuring their business continuity, safety, and progress.

The company's mission-driven approach emphasizes responsible AI adoption, experimentation, and continuous innovation, fostering a culture of autonomy, flexibility, and impactful work. CrowdStrike’s commitment to excellence and its cutting-edge technological environment make it an ideal place for talented professionals to grow and contribute to a safer digital world.

About The Role

CrowdStrike is seeking a Principal Data Engineer with specialized expertise in Large Language Models (LLMs) and AI platform development to join our expanding Data Science Platform Engineering Team. In this pivotal role, you will lead the design, development, and deployment of advanced data infrastructure that powers our next-generation AI-driven security solutions.

Your responsibilities will include integrating LLMs, developing agentic workflows, and harnessing AI agents to deliver scalable, high-impact solutions at an exabyte scale. You will champion engineering excellence by writing high-quality, performant code, mentoring team members, and fostering best practices in data modeling, MLOps, and DataOps. This position offers an exciting opportunity to influence the future of AI-enabled cybersecurity products by working on large-scale distributed systems, deploying cutting-edge AI models, and collaborating across multidisciplinary teams to translate research into robust production services.

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 platforms for AI/ML or Data Science at massive scale
- Hands-on experience with LLM engineering, including fine-tuning, prompt engineering, and deployment
- Proficiency in large-scale distributed systems, sharding, partitioning, and concurrency
- Expertise in programming languages such as Python or JVM technologies
- Deep understanding of cloud platforms (AWS, GCP, or OCI) and related data services
- Experience with containerization and orchestration tools like Docker and Kubernetes
- Knowledge of message queuing and streaming technologies such as Kafka or Pulsar
- Familiarity with data warehousing solutions like Snowflake or BigQuery and orchestration tools like Airflow or Kubeflow
- Experience with MLOps tools such as MLflow, Sagemaker, or Vertex AI
- Strong understanding of data modeling, semantic cataloging, and normalization for AI/ML workloads
- Proven leadership and mentorship skills, with prior experience in senior or principal engineering roles

Responsibilities

- Design, implement, and optimize data platforms and pipelines supporting LLMs, Retrieval-Augmented Generation (RAG), and autonomous AI agents at exabyte scale
- Drive adoption of agentic workflows and techniques to develop autonomous, data-driven security features
- Develop scalable, fault-tolerant,



and cost-effective data solutions emphasizing rapid iteration and deployment
- Write elegant, production-ready code focusing on performance, maintainability, and rigorous testing
- Provide technical leadership in data modeling, normalization, and semantic cataloging for AI/ML workloads
- Establish best practices for MLOps/DataOps, including monitoring, observability, and recovery mechanisms for AI services
- Mentor engineers through technical workshops, design reviews, and knowledge sharing in AI platform technologies
- Collaborate with Data Scientists, Product Managers, and engineering teams to convert prototypes into robust, scalable services
- Manage the entire lifecycle of critical data services—from development through deployment and monitoring

Benefits

- Competitive salary with equity awards and performance bonuses
- Comprehensive health and wellness programs for physical and mental health
- Generous paid vacation, holidays, and parental/adoption leave policies
- Ongoing professional development and training opportunities
- Employee resource groups, community engagement, and volunteer initiatives
- Vibrant office environments with world-class amenities
- Recognition as a Great Place to Work across the globe

Equal Chance CrowdStrike is an equal opportunity employer committed to fostering an inclusive environment where all individuals are valued and respected. We do not discriminate based on race, color, religion, gender, sexual orientation, gender identity, marital status, veteran status, age, national origin, disability, or any other characteristic protected by law. We support veterans and individuals with disabilities through our affirmative action programs.

All employment decisions are based on job-related criteria, and we are dedicated to providing equal employment opportunities to all applicants and employees.

📌 Data Engineer (Canada)
🏢 Sundayy
📍 Canada