Overview

Are you a hands-on engineer passionate about building advanced cybersecurity analytics capabilities? Join a global Cybersecurity R&D 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 & 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 & 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.
• R&D & 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 & 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 R&D and innovation