What you will do
- Lead, mentor, and develop the IT Infrastructure team, supporting professional growth, technical excellence, and a collaborative working environment.
- Oversee the performance, reliability, and security of cloud and on-premise infrastructure, including servers, networks, storage, identity management, backup, and disaster recovery.
- Set technical direction and priorities for infrastructure and AI-related initiatives, ensuring effective resource allocation and alignment with business and client needs.
- Drive the evolution of infrastructure capabilities to support AI and Machine Learning workloads, including AI platforms, GPU-based computing, and high-performance environments.
- Guide the development and operation of AI and MLOps platforms, supporting the deployment, monitoring, management, and optimization of Machine Learning models.
- Act as a technical escalation point for complex issues and major incidents, providing hands-on support when needed and ensuring effective root cause analysis.
- Promote automation, Infrastructure as Code, and modern DevOps practices to improve operational efficiency, service quality, and scalability.
- Encourage the team to adopt AI-enabled ways of working, continuously improving infrastructure management and reducing manual effort.
- Ensure infrastructure and AI platforms meet relevant security, privacy, governance, availability, and cost-efficiency requirements.