Senior Cloud & On-Prem Platform Engineer

scaleai

Greater London

On-site

GBP 90,000 - 140,000

Full time

14 days+

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Job summary

Scale AI is seeking an Infrastructure Software Engineer for the Apps Platform in London. You will help build deployment and observability layers across CSPs and on‑prem, shaping a cloud-agnostic platform and pipelines for internal and customer-managed environments.

You will collaborate with teams to understand their usage, debug issues, and drive a roadmap balancing immediate needs with long‑term architecture, including leading end-to-end projects and architecture reviews.

Qualifications

  • 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.
  • CI/CD pipelines and software delivery using GitHub Actions or CircleCI.
  • Experience with GitOps-style deployments and repeatable deployments.

Responsibilities

  • Expand deployment footprint to cover on-premise, major cloud platforms and beyond.
  • Ensure fast, secure, and reproducible deployments across all CSPs and on-prem.
  • Expand observability so teams can operate customer deployments efficiently.
  • Collaborate with internal teams to understand needs, debugging issues and building tooling.
  • Respond to incidents with root-cause analysis and preventive fixes.
  • Help develop a roadmap for deployment and observability.
  • Lead architecture reviews and own end-to-end projects.

Skills

5+ years experience
Cloud platforms
Networking design
Debugging

Tools

Kubernetes
Terraform
Docker
GitHub Actions
CircleCI
GitOps
AWS
Azure
GCP
OCI

Job description

Scale AI is seeking an Infrastructure Software Engineer for the Apps Platform in London. You will help build deployment and observability layers across CSPs and on‑prem, shaping a cloud-agnostic platform and pipelines for internal and customer-managed environments.

You will collaborate with teams to understand their usage, debug issues, and drive a roadmap balancing immediate needs with long‑term architecture, including leading end-to-end projects and architecture reviews.

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