OverviewAre you a hands-on engineer passionate about building advanced cybersecurity analytics capabilities? Join a

global Cybersecurity RandD team

that blends software engineering, data science, and threat intelligence to create innovative solutions for one of the world''s largest and most complex technology estates.

We''re looking for a

Principal Engineer

to lead the technical delivery of cutting-edge security analytics platforms and services, drive innovation, and help shape the future of cyber defence at scale.

What You''ll Do

Software Engineering and Architecture

Design, build, and scale

custom cybersecurity applications , APIs, and data-driven tools.

Engineer

analytics pipelines and machine learning services

in cloud environments (Azure preferred).

Guide architectural decisions to ensure performance, scalability, and maintainability.

Provide hands-on support for critical system triage and rapid response development.

Data and Analytics Engineering

Build and automate data pipelines, delta tables, and reusable datasets to support a wide range of security use cases.

Lead data infrastructure initiatives and set best practices for analytics engineering.

RandD and Innovation

Drive the prototyping and development of novel AI/ML capabilities for threat detection, anomaly analysis, and security automation.

Explore cutting-edge tools and methodologies to maintain a defensive advantage against evolving threats.

Rapid Response and Collaboration

Work closely with security operations, data science, and engineering teams to address urgent threats or vulnerabilities.

Act as a technical leader across cross-functional delivery squads.

What We''re Looking For

Strong background in

software engineering , ideally full stack with focus on cybersecurity tooling.

Experience with

cloud-native architectures

(Azure, AWS, or GCP) and building scalable applications.

Familiarity with

cybersecurity disciplines

such as network/cloud security, cryptography, malware analysis, intrusion detection, threat intel, or red/blue teaming.

Proficiency in

Python

and the data science ecosystem (e.g. Pandas, NumPy, Jupyter, etc).

Experience with

Databricks ,

Synapse , or similar analytics platforms.

Strong data engineering skills including RDBMS (PostgreSQL, MySQL) and NoSQL (Cassandra, Elasticsearch, etc).

Demonstrated leadership in setting engineering standards and mentoring junior engineers.

Excellent communication skills, capable of translating complex technical ideas into actionable insights.

Bonus Points For

Degree in Computer Science, Engineering, Data Science, or related field.

Azure certifications (e.g. Developer Associate, Data Engineer, Solutions Architect).

Experience with offensive/defensive cyber tools, threat modelling, or applied machine learning in security.

Why Join?

Build

mission-critical software

that defends against real-world cyber threats.

Work alongside world-class experts in

security, analytics, and AI .

Tackle

technically complex challenges

at scale in a high-impact environment.

Contribute to a team pushing the boundaries of

Cybersecurity RandD and innovation .

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