Principal Systems Ontologist; Remote

Overview

Crowd Strike, Inc. Full time

As a global leader in cybersecurity, Crowd Strike protects the people, processes and technologies that drive modern organizations. 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 Crowd Strike to keep their businesses running, their communities safe and their lives moving forward.

We're also a mission-driven company. We cultivate a culture that gives every Crowd Striker both the flexibility and autonomy to own their careers. We're always looking to add talented Crowd Strikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters?

The future of cybersecurity starts with you.

About the Role:
The Vision: The security industry is drowning in observed symptoms while starving for at-testable truth. At Crowd Strike, we are building a high integrity infrastructure fabric a platform that doesn't just scan for risks, but proves them through a deterministic digital twin of the enterprise.

As the Principal Systems Ontologist, you will be the lead designer of a system that treats global infrastructure as a formal graph, where every node and edge is traced back to a versioned source of truth. This role is a part of the Product CTO organization that includes a team of Technical Strategy leaders that bring outstanding ideas, the ability to execute cross-functionally, and teamwork to a strategic, high future impact organization.

The Challenge You'll Solve:
How do you build a system that reconciles on-premise data centers with the abstract topology of multi-cloud environments? How do you design an inference engine that rejects non-deterministic reasoning in favor of high performance, deterministic logic? You will architect the Chain of Custody for infrastructure data, ensuring that every insight is backed by irrefutable evidence.

• Attested Knowledge Architecture:
  Contribute to the end-to-end pipeline of immutable raw data preservation to canonical semantic transformation chains.
• Architect Multi-Layered Evaluation Logic:
  Lead design of a logic engine to calculate effective exposure by intersecting network topology, resource configurations, and perimeter constraints.
• Graph Strategy:
  Contribution to a multi-backend graph architecture optimized for both real time temporal state and deep multihop path analysis.
• Work Cross-functionally:
  Work closely with Asset Platform, Risk Platform, Ingest, and Design Teams.
• Lead, Mentor, and Align:
  Guide a multidisziplinary team of engineers, taxonomists, and subject matter experts in distilling vendor specific noise into a unified topography of risk.
• Provide support to the wider CTO organization including the Falcon Fund, Privacy & Cyber Policy, Data Science and Detection Architecture teams, as well as the broader Crowd Strike organization as needed
• Work with industry analysts to provide product updates, briefings, and demonstrations

• A proven history of architecting large scale distributed systems where data integrity and performance are paramount.
• Deep expertise in formal logic, relational algebra, and graph theory applied to practical, high performance systems engineering.
• Demonstrable experience in bi-temporal data modeling and event driven architectures.
• Proficiency in modern systems languages (e.g. Go, Rust)
• Exceptional leadership skills; the ability to move stakeholders from intuition-based thinking to formal attested models. Bachelor s degree or higher in a relevant field
• Minimum of 5 years relevant work experience
• Superior communication skills including experience presenting to senior & executive level management
• Excellent people and project management skills to manage projects and interact/build rapport with staff, colleagues, cross-functional teams and third parties

• Experience architecting systems in large scale infrastructure management or observability.
• A track record of designing abstractions that allow non…