Sr. Knowledge Engineer , Europe)

London, SE10 0TW, United Kingdom
Today
£50,000 – £100,000 pa

Salary

£50,000 – £100,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Remote
Seniority
Senior
Education
Degree
Posted
6 May 2026 (Today)

As a global leader in cybersecurity, CrowdStrike 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 CrowdStrike 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 CrowdStriker both the flexibility and autonomy to own their careers. 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. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:

As the Senior Knowledge Engineer, you will be the 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 organisation 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 organisation.

The Vision:

The security industry is drowning in “observed symptoms” while starving for attestable truth. At CrowdStrike, 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.

The Challenge You’ll Solve: How do you build a robust extensible framework that can connect to hundreds of different APIs, from mainstream cloud providers to niche security tools? How do you write the code that can parse and normalise their widely different schemas and data formats, and then efficiently map them into a canonical graph model? This is your build.

What You'll Do:

  • Build our ‘Universal Translator’ Framework: You will be the primary builder of our data ingestion and semantic transformation pipelines. You will design and implement the core framework and specific connectors to parse API schemas and transform raw data into our canonical model.

  • Architect the Knowledge Construction Engine: You will implement the systems that turn data into knowledge. This includes building the code generators that compile our team's high level mapping configurations into low level artifacts, and developing the software for our entity resolution engine to fuse disparate data into unified conceptual entities.

  • Data Quality & Validation Strategy: You will contribute to a multi-backend graph architecture optimized for both real time temporal state and deep multihop path analysis.

  • Work Crossfunctionally: Work closely with the Principal Ontologist, Asset Platform, Risk Platform, Ingest, and Design Teams.

  • Lead, Mentor, and Align: Guide a diverse 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 CrowdStrike organization as needed.

  • Work with industry analysts to provide product updates, briefings, and demonstrations.

What You'll Need:

  • 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.

  • Deep experience with data transformation, schema parsing, and working with complex, nested data structures form heterogeneous APIs.

  • 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.

  • 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

What will make you stand out:

  • Experience building declarative, configuration driven systems or code generators.

  • A track record of designing abstractions that allow non specialists to model complex topological relationships.

  • A background in data engineering for cybersecurity or large scale infrastructure.

  • Experience evolving data systems towards a modern, model driven architecture.



#LI-Remote

#LI-GT1

Benefits of Working at CrowdStrike:

  • Market leader in compensation and equity awards

  • Comprehensive physical and mental wellness programs

  • Competitive vacation and holidays for recharge

  • Paid parental and adoption leaves

  • Professional development opportunities for all employees regardless of level or role

  • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections

  • Vibrant office culture with world class amenities

  • Great Place to Work Certified™ across the globe

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 is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices 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 (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance.

Related Jobs

View all jobs
Spotlight

Senior ML Runtime Engineer

Fractile London, United Kingdom

Sr. Knowledge Engineer , Europe)

CrowdStrike London, SE10 0TW, United Kingdom
£50,000 – £100,000 pa Remote

Sr. Knowledge Engineer , Europe)

CrowdStrike Dunscore, Alba / Scotland, DG2 0SR, United Kingdom
£50,000 – £100,000 pa Remote

Sr. Knowledge Engineer , Europe)

CrowdStrike Bigton, Alba / Scotland, ZE2 9GA, United Kingdom
£50,000 – £100,000 pa Remote

Sr. Knowledge Engineer , Europe)

CrowdStrike Israel
Remote

Sr. Knowledge Engineer , Europe)

£50,000 – £100,000 pa Remote

Sr. Staff Security Engineer

Databricks United Kingdom

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

AI Jobs UK 2026: What to Expect Over the Next 3 Years

Artificial intelligence is creating jobs faster than the market can name them. New roles are appearing every quarter, existing titles are splitting into specialisms, and the technologies underpinning it all are evolving at a pace that makes even last year's job descriptions feel dated. For job seekers, this presents a genuinely unusual challenge. In most industries, career planning means understanding a relatively stable landscape and working out where you fit within it. In AI, the landscape itself is being redrawn in real time. The roles with the most hiring activity in 2028 may not yet have a widely agreed job title in 2026. That's not a reason to feel overwhelmed — it's a reason to get informed. The candidates who thrive in this market aren't necessarily those with the longest CVs or the most credentials. They're the ones who understand the direction of travel: which skills are gaining value, which technologies are driving employer decisions, and how the definition of an "AI job" is expanding well beyond the tech sector. This article breaks down what the UK AI jobs market is likely to look like over the next three years — covering emerging job titles, the technologies reshaping hiring, the skills employers are prioritising, and how to position yourself ahead of the curve rather than behind it.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.