CrowdStrike, Inc.

CrowdStrike, Inc.

Principal Staff Engineer, AI Platform Research, Data Science (Remote, CAN)

Canada - Remote ON · Principal

Sponsorship not specified$210k-$320kDetected 6 days ago
PythonGoRustDistributed SystemsCode ReviewBigQuerySnowflakeAWSGCPDockerPlatform EngineeringKafkaMachine LearningSparkAirflowData EngineeringData ScienceLLMsRAGAgentic AIMLOpsA/B TestingResearchLeadership

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 100%

Of 19 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 496 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

28 transfer filings in the last year, covering 28 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • 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.
  • Given the rapid evolution of AI tooling and development standards, we seek a technical leader to stay at the forefront of research, optimizing these systems while driving the platform advancements that accelerate our research teams.
  • You will champion by hands on executing engineering excellence, focusing on shipping fast, writing elegant, high-quality code, and actively mentoring and strengthening the team's technical knowledge and capabilities.

Responsibilities

  • Write code everyday. Architect, implement, and optimize data platforms and pipelines specifically designed to support LLMs, Neural Networks, 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.
  • Lead by example in hands coding highly scalable, fault-tolerant, and cost-effective data solutions, emphasizing rapid iteration and high-quality deployment.
  • Actively mentor engineers, conducting technical workshops, leading design reviews, and strengthening 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.
  • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections

Requirements

  • Bachelor's, Master's or PhD in Computer Science, Data Engineering, or a related STEM field, or equivalent practical experience.
  • 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.
  • Ability to leverage AI aided secure code development
  • Prior experience in a Staff level engineering role, demonstrating technical leadership and mentorship capabilities.
  • Prior experience in the cybersecurity, intelligence, or high-compliance industries.

Skills

  • Languages: Expert-level proficiency in at least one - Python, Go, Rust, or JVM technologies.
  • AI/ML: 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.

Compensation

  • Market leader in compensation and equity awards

Benefits

  • Market leader in compensation and equity awards
  • Competitive vacation and holidays for recharge
  • Paid parental and adoption leaves

Company info

  • Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform.
  • Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward.
  • We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other.

This listing is sourced directly from CrowdStrike, Inc.'s careers page and normalized into a canonical job model.