Engineering Manager, Infrastructure
Scale AI · London, UK
CHECKED 13H AGO
Infrastructureonsitemanager
At a glance
Highlights
- Lead infrastructure powering AI applications in live enterprise environments.
- Turn AI research prototypes into scalable, high-performance enterprise solutions.
- Own full deployment lifecycle from rollout to long-term operational health.
Ideal candidate
An experienced infrastructure leader who thrives at the intersection of customer impact and platform excellence and loves mentoring teams while turning complex prototypes into reliable, production-ready systems.
Requirements
- At least 5 years of relevant experience and at least 2+ years managing infrastructure or platform teams
- Proven experience with cloud platforms such as AWS, GCP, Azure or OCI
- Proven experience with Kubernetes deployments on on-prem infrastructure
- Deep understanding of CI/CD pipelines, infrastructure-as-code and container orchestration
- Experience managing production environments with high availability, reliability and scalability
- Familiarity with monitoring, alerting and incident response best practices
- Experience with modern developer platforms and internal tooling to improve velocity
- Solid foundation and real-world experience in network engineering
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta