6 hours ago
London, United KingdomSenior
Responsibilities
- Expand the platform’s deployment footprint across on-premises environments and major cloud providers.
- Build fast, secure, reproducible deployment pipelines and improve platform observability.
- Partner with internal teams to understand deployment needs, debug issues, and build supporting tooling.
- Respond to production incidents, perform root cause analysis, and implement preventive fixes.
- Help maintain the deployment and observability product roadmap.
- Lead architecture reviews and own projects from design through deployment.
Requirements
- 5+ years of experience building and deploying enterprise and public-sector solutions across AWS, Azure, GCP, OCI, and on-premises environments.
- Deep expertise in infrastructure design, networking engineering, VPNs, load balancers, and firewalls.
- Deep proficiency with infrastructure as code, containerization, and orchestration technologies including Kubernetes, Terraform, and Docker.
- Understanding of CI/CD pipelines and software delivery principles using GitHub Actions or CircleCI.
- Experience with GitOps-style deployments and consistent, repeatable delivery.
- Strong production debugging skills and the ability to balance performance and security tradeoffs.
- Preferred qualifications include infrastructure startup experience, secure multi-tenant or untrusted workload experience, open-source contributions, and production on-call or incident-response experience.
Tech Stack
Categories
About Scale AI
Scale AI builds data annotation services and AI development tools for enterprises and government agencies, sold as a platform and managed services. Its products include the Scale Generative AI Platform for building and evaluating agents and the Data Engine for collecting, curating, and labeling training data, including RLHF and model evaluation. Founded in 2016 and headquartered in San Francisco, the company is privately held and works across domains from computer vision to LLM applications.