Director of Engineering (Cybersecurity)

Director of Engineering – Third-Party CyberSecurity Intelligence Platform

Location: London - UK (Remote)

Reports to: CEO

About Client:

Our client helps enterprises discover, assess, and respond to third-party and supply-chain risks through advanced AI-driven analytics and intelligence . Their mission is to deliver continuous, data-backed visibility into the extended enterprise, enabling organisations to identify vulnerabilities, map their digital ecosystems, and make informed decisions about vendor and partner risk.

As they continue to scale their platform, we are seeking a Director of Engineering to lead a world-class technical team , shape the architectural vision , and drive execution across multiple product streams — including large-scale data pipelines and real-time risk intelligence systems .

Role Overview:

As the Director of Engineering , you will own technical strategy, execution, and people development for Cyb3r Operations’ engineering organisation.

You will work closely with the CTO, Product, and AI/Data Science leads to translate our business and product vision into a robust, scalable, and secure technology platform.

This is a hands-on leadership role, ideal for someone who has grown from senior engineering roles into strategic leadership and thrives in a fast-paced, cybersecurity-focused SaaS environment.

Key Responsibilities:

Technical Leadership:

• Define and execute the engineering roadmap , ensuring scalability, performance, and security of our third-party intelligence platform.
• Drive architectural decisions around data ingestion, graph-based intelligence, real-time risk scoring, and AI/ML integrations .
• Champion best practices in software engineering, cloud infrastructure (AWS/Azure/GCP), DevSecOps, and CI/CD .
• Oversee the development of APIs, integrations, and data exchange mechanisms with enterprise systems and external intelligence feeds.
• Partner with the CTO to evolve the technical stack and architecture for long-term flexibility and resilience.

Team & Culture:

• Build, mentor, and scale a high-performing engineering team (backend, frontend, DevOps, data, QA).
• Foster a culture of excellence, ownership, and collaboration , ensuring engineers are aligned with product outcomes.
• Establish strong technical hiring standards, design interview frameworks, and attract top engineering talent globally.
• Support career growth and professional development for engineers through mentorship, training, and clear performance frameworks.

Execution & Delivery:

• Translate business and product goals into clear engineering OKRs, milestones, and sprint objectives.
• Ensure timely delivery of features, technical debt management, and continuous improvement of development velocity.
• Implement effective engineering processes, agile practices, sprint planning, retrospectives, and release cycles.
• Collaborate with Product Management to balance feature delivery with technical health, security, and infrastructure priorities.
• Manage vendor relationships and oversee outsourcing or partner engagements when needed.

Security, Compliance & Reliability:

• Lead the adoption of secure coding standards , vulnerability management, and security-by-design practices.
• Ensure compliance with relevant frameworks (ISO 27001, SOC 2, GDPR).
• Drive observability, monitoring, and incident response strategies to ensure reliability and uptime.
• Work closely with InfoSec and Data teams to embed security at every stage of development.

Qualifications:

• 10+ years of experience in software engineering, with at least 3–5 years in engineering leadership (Head of Engineering, Director, or VP role).
• Proven experience building and scaling SaaS platforms — ideally in cybersecurity, risk intelligence, or enterprise analytics .
• Deep expertise in modern cloud environments (AWS, Azure, or GCP), containerization (Docker/Kubernetes), and distributed systems.
• Experience leading cross-functional teams across backend, frontend, DevOps, and data.
• Strong background in data pipelines, APIs, and real-time data processing (Kafka, Spark, GraphDBs, etc.).
• Familiarity with AI/ML integration , large-scale data architecture, and analytics platforms is a strong plus.
• Strong communication and stakeholder management skills, able to work with executive leadership and external partners.
• Proven ability to deliver high-impact features in a start-up or growth-stage environment.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (PhD a plus).

Preferred / Nice to Have:

• Experience in cyber threat intelligence, risk scoring, or third-party risk domains .
• Background in graph technologies (Neo4j, TigerGraph, ArangoDB) and entity resolution.
• Understanding of security standards, GRC frameworks, and compliance automation .
• Previous experience scaling teams from 5 → 50 engineers.
• Comfortable working with distributed teams and agile processes.