10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles
3+ years of people management experience, including building and scaling teams
Proven track record of establishing or significantly growing an engineering site or office
Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation
Experience with infrastructure supporting large-scale AI/ML systems, including
GPU infrastructure and orchestration
ML training and inference pipelines
Model serving and deployment at scale
Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems
Demonstrated ability to set technical vision and drive execution across multiple teams
Excellent communication and stakeholder management skills
Experience working in fast-paced, high-growth technology companies
Passion for building inclusive, diverse, and high-performing teams
Experience at companies focused on AI/ML, search, or large-scale consumer applications
Previous experience as a site lead, office lead, or similar multi-team leadership role
Background in building infrastructure for LLM training or inference
Contributions to open-source infrastructure or AI infrastructure projects
Experience scaling teams from 0 to 20+ engineers
Active involvement in the London or European tech community
MBA or advanced technical degree