Infrastructure Software Engineer, Apps Platform
Scale AI · London, UK
Infrastructureonsitesenior
At a glance
Highlights
- Expand platform deployment footprint across on-prem and major clouds
- Build observability so field teams can operate customer deployments easily
- Own deployment roadmap end-to-end from design to production
Ideal candidate
A platform-minded infrastructure builder with 5+ years shipping enterprise systems who cares about cloud-agnostic deployments and thrives partnering with teams, debugging production, and balancing urgent fixes with long-term architecture.
Requirements
- 5+ years building and deploying enterprise and public sector solutions across AWS, Azure, GCP, OCI and on-premises
- Deep expertise in infrastructure design, networking, VPNs, load balancers, and firewalls
- Proficiency with IaC, containerisation and orchestration (Kubernetes, Terraform, Docker)
- Understanding of CI/CD and software delivery using GitHub Actions or CircleCI
- Experience with GitOps-style deployments ensuring consistent, repeatable deployments
- Strong debugging skills navigating performance/security tradeoffs in production
- Comfort with ambiguity, switching between incident work and proactive product development
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
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