About the role
We are seeking a visionary Head of Engineering to lead large-scale global engineering teams and drive enterprise-wide transformation, modernisation, and innovation initiatives. The ideal candidate will have a proven track record of scaling engineering organisations, delivering high-quality web, mobile, and backend platforms, and leading AI/GenAI-driven transformation programs. This role requires strong product engineering experience with measurable business impact and a customer-first mindset.
Responsibilities:
- Lead and scale a global engineering organisation of 400+ engineers across multiple regions.
- Drive the delivery of enterprise-scale web and mobile applications, ensuring high performance, scalability, reliability, and security.
- Own digital, cloud, and AI transformation initiatives across Azure and GCP platforms.
- Lead modernisation initiatives including microservices, distributed systems, API-first architecture, and cloud-native engineering.
- Drive AI, GenAI, and Agentic AI adoption by identifying innovation opportunities and enabling engineering excellence.
- Define the organisation's technology vision, engineering roadmap, architecture standards, and best practices.
- Collaborate closely with executive leadership and global stakeholders to align technology strategy with business objectives.
- Establish operational excellence through observability, monitoring, performance engineering, and platform reliability.
Requirements:
- Demonstrated experience managing and scaling engineering organisations of 400+ professionals.
- Proven ability to build high-performing engineering teams and develop organisational capabilities from the ground up.
- Excellent stakeholder management and communication skills with experience working across global teams.
- Strong leadership skills with the ability to drive transformation, innovation, and engineering excellence.
- Bachelor's or Master's degree in Engineering, Computer Science, or a related discipline.
- Cloud, Architecture, or Technology certifications are preferred.
Technology Stack:
- Backend: Java, Spring Boot, Node.js, Kotlin
- Frontend: React, HTML, CSS
- Cloud: Microsoft Azure, Google Cloud Platform (GCP)
- Architecture: Microservices, Distributed Systems, API-First Architecture
- Streaming: Apache Kafka
- Observability: Prometheus, Grafana
- Artificial Intelligence: AI, Generative AI (GenAI), Agentic AI
- Enterprise Platforms: CRM
Success Metrics:
- Successful execution of enterprise-wide digital transformation initiatives.
- Improved engineering productivity, platform scalability, and operational efficiency.
- Increased adoption of AI and GenAI capabilities across engineering teams.
- Strong employee engagement, leadership effectiveness, and talent retention.