Scale AI · AI infrastructure
Infrastructure Software Engineer, Apps Platform
- London
Still open on Scale AI's site · checked just now
- Posted
What you'll do
As written by Scale AI · Read the original
You will
- Expand the deployment footprint of our platform to cover both on-premise, all major cloud platforms and beyond
- Ensure fast, secure, and reproducible deployments across all supported CSPs and on-prem
- Expand the observability of the platform so that forward deployed infrastructure teams can easily and efficiently operate customer deployments
- Partner closely with internal teams deploying the platform to understand their needs, debug issues, and build tooling that serves their use cases
- Respond to incidents and production issues with urgency, conducting root cause analysis and implementing preventive fixes
- Help develop and maintain a product roadmap for deployment and observability
- Lead architecture reviews and own projects end-to-end, from design through deployment, in fast-paced cross-functional settings
Requirements
Ideally you'd have
- 5+ years of experience building and deploying enterprise and public sector solutions across AWS, Azure, GCP, OCI and on-premises
- Deep expertise in infrastructure design, networking engineering, VPNs, load balancers, and firewalls
- Deep proficiency with IaC, containerisation and orchestration tools and technologies (Kubernetes, Terraform, Docker)
- Comprehensive understanding of CI/CD pipelines and software delivery principles using GitHub Actions or CircleCI.
- Experience with GitOps-style deployments and a track record of ensuring consistent, repeatable deployments
- Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems
- Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development
Nice to haves
- Experience as a founder or early engineer at an infrastructure-focused startup, owning a product end-to-end
- Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks)
- Open-source contributions to systems or developer-tools projects
- History of on-call/incident response for production systems
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
Skills
Stack
- AWS
- Google Cloud
- Azure
- Kubernetes
- Docker
- Terraform
Working languages
English
Company
Last checked . The details above were extracted automatically; the employer's original posting is the authority.
