Infrastructure Software Engineer, Apps Platform

Scale AI
London
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsSkills: ["Debugging","Root cause analysis","Cross-functional collaboration","Urgency","Working with ambiguity"]

Build and evolve the Apps Platform deployment and observability layers across multiple cloud providers and on-prem environments for both internal and customer-managed deployments. Partner with internal teams to debug deployments, expand platform reach, and develop tooling for deployment operations. Own end-to-end projects from architecture reviews through deployment, respond urgently to incidents, and drive root-cause analysis and preventive fixes.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Scale AI
Scale AI
6 days ago

Infrastructure Software Engineer, Apps Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Build and evolve the Apps Platform deployment and observability layers across multiple cloud providers and on-prem environments for both internal and customer-managed deployments. Partner with internal teams to debug deployments, expand platform reach, and develop tooling for deployment operations. Own end-to-end projects from architecture reviews through deployment, respond urgently to incidents, and drive root-cause analysis and preventive fixes.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Expand the deployment footprint to cover on-premises and major cloud platforms.
  • •Ensure fast, secure, and reproducible deployments across supported CSPs.
  • •Grow platform observability so forward-deployed teams can operate customer deployments efficiently.
  • •Respond to incidents and production issues with root-cause analysis and preventive fixes.
  • •Lead architecture reviews and end-to-end projects for deployment and observability in cross-functional settings.

Key Requirements

  • •5+ years building and deploying enterprise/public sector solutions across AWS, Azure, GCP, OCI, and on-premises.
  • •Deep expertise in infrastructure design and networking (VPNs, load balancers, firewalls).
  • •Strong proficiency with infrastructure-as-code, containerisation, and orchestration (Kubernetes, Terraform, Docker).
  • •Experience with CI/CD pipelines and software delivery (GitHub Actions or CircleCI).
  • •Comfort with GitOps-style deployments and ensuring consistent, repeatable deployments, including debugging performance and security tradeoffs in production.
Experience:5+ yearsEnterprise solutionsPublic sectorInfrastructureCloudOn-premises
Skills:DebuggingRoot cause analysisCross-functional collaborationUrgencyWorking with ambiguity
Languages:English
Tech Stack:AWSAzureGCPOCIOn-premisesKubernetesTerraformDockerGitHub ActionsCircleCIGitOpsCI/CDLoad balancersVPNsFirewalls

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn