Principal Data Engineer, LLM/AI Platforms (Remote)

CrowdStrike; Calgary; On-site; CAD 210,000 - 320,000; Full time

Benefits offered by this job

Market-leading compensation and equity awards

Comprehensive wellness programs

Competitive vacation schedule

Job summary

CrowdStrike, a leader in cybersecurity, seeks a Principal Data Engineer to design and implement data platforms for AI-driven security products. Ideal candidates have over 10 years of experience, including expertise in large language models.

This role involves mentoring engineers, optimizing data solutions, and driving technical leadership in a collaborative environment. Strong programming and cloud skills are essential, alongside a commitment to high-quality code.

Competitive salary range for Canadian candidates is CAD$210,000–$320,000 with bonuses and comprehensive benefits.

Qualifications

• 10+ years of progressive data engineering experience.
• Hands-on experience with LLMs and AI platforms.
• Prior experience in a Principal or Staff level engineering role.

Responsibilities

• Architect and optimize data platforms for AI-driven products.
• Mentor engineers and conduct design reviews.
• Collaborate to transform research into production-grade services.

Skills

MLOps expertise

LLM engineering

Clean coding skills

Data platform design

Cloud platforms

Education

Master’s or PhD in Computer Science or related field

Tools

Python

MLflow

Docker

Kafka

Job description

CrowdStrike is a global leader in cybersecurity dedicated to stopping breaches with an advanced AI-native platform.

About the Role

Principal Data Engineer with deep expertise in Large Language Models (LLMs) and AI platforms to design, build, and deploy data infrastructure that powers next-generation AI-driven security products.

What You'll Do

• Architect, implement, and optimize data platforms and pipelines for LLMs, Retrieval-Augmented Generation (RAG), and AI agentic systems at Exabyte scale.
• Drive the adoption and deployment of agentic workflows and techniques to create autonomous, data-driven security features.
• Design scalable, fault‑tolerant, cost‑effective data solutions, emphasizing rapid iteration and high-quality deployment.
• Write production‑ready code with focus on performance, maintainability, and testing rigor, shipping fast without compromising quality.
• Provide technical leadership in data modeling, normalization, and semantic cataloging for AI/ML workloads.
• Establish best practices for MLOps/DataOps around LLMs, including monitoring, observability, and zero‑touch recovery mechanisms.
• Mentor engineers, conduct workshops and design reviews, strengthening the team’s AI platform knowledge.
• Collaborate across teams to transform research prototypes into production‑grade services.
• Own end‑to‑end lifecycle of critical data services: development, testing, deployment, and monitoring.

Tech Stack

• MLOps tools (MLflow, SageMaker, Vertex AI)
• Agentic workflow frameworks (LangChain, LlamaIndex)
• High‑level programming languages (Python, JVM technologies)
• Distributed data processing frameworks (Spark, Dask, Flink)
• Cloud platforms (AWS, GCP, OCI) and related data services
• Containerization and orchestration (Docker, Kubernetes)
• Message queuing and streaming (Kafka, Pulsar)
• Data warehousing (Snowflake, BigQuery) and orchestration (Airflow, Kubeflow)

What You'll Need

• Master’s or PhD in Computer Science, Data Engineering or related STEM field, or equivalent practical experience.
• 10+ years of progressive data engineering/platform engineering experience, with at least 3 years focused on AI/ML or data science platforms at massive scale.
• Hands‑on experience in LLM engineering (fine‑tuning, prompt engineering, deployment), RAG, and agentic workflows.
• Track record of designing and delivering large‑scale distributed systems (sharding, partitioning, concurrency).
• Exceptional coding skills: clean, elegant, performant code with extensive testing.
• Strong understanding of engineering practices: code reviews, resilient architecture, comprehensive testing.
• Prior Principal or Staff level engineering role with demonstrated technical leadership and mentorship.

Bonus Points

• Experience building, deploying, and managing LLMs in production.
• Background in cybersecurity, intelligence, or high‑compliance industries.
• Contributions to open‑source projects related to data or AI/ML.

Benefits Of Working At CrowdStrike

• Market‑leading compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holiday schedule
• Paid parental and adoption leave
• Professional development opportunities for all employees
• Employee networks, regional groups, and volunteer opportunities to build connections
• Vibrant office culture with world‑class amenities
• Great Place to Work certification across the globe

Equal Employment Opportunity

CrowdStrike 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 action program. CrowdStrike participates in the E‑Verify program.

We do not discriminate on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy‑related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, or any other characteristic protected by law. Employment decisions are based on valid job requirements.

Compensation

Base salary range for U.S. candidates: $195,000–$290,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401(k) and paid time off. For Canadian candidates: CAD$210,000–$320,000 per year plus variable/incentive compensation, equity and benefits.