Infrastructure Software Engineer, Apps Platform

Scale AI
London, United Kingdom
On-site

Who this role is best for

A natural match if you have experience building cloud-agnostic infrastructure and managing deployment pipelines across multiple environments.

Best fit for

  • Candidates with experience in enterprise cloud infrastructure and a history of leading cross-functional projects
    — “Lead architecture reviews and own projects end-to-end, from design through deployment
  • Individuals comfortable with multi-cloud and on-prem environments and debugging complex production systems
    — “debug their issues, and shape a roadmap that balances immediate needs with long-term architecture
  • Professionals with a track record of ensuring consistent, repeatable deployments using GitOps-style practices
    — “Experience with GitOps-style deployments and a track record of ensuring consistent, repeatable deployments

Things to consider

  • The role involves incident response and requires immediate action during production issues
    — “Respond to incidents and production issues with urgency
  • A 90-day waiting period is in place for reapplications to the same role
    — “Our policy requires a 90-day waiting period before reconsidering candidates for the same role

How to stand out

  • Highlight experience with multi-cloud and on-prem deployment across enterprise and public sector environments
    — “5+ years of experience building and deploying enterprise and public sector solutions across AWS, Azure, GCP, OCI and on-premises
  • Emphasize your ability to shape a product roadmap while addressing technical debt
    — “shape a roadmap that balances immediate needs with long-term architecture
  • Showcase your IaC and containerization expertise with concrete examples of tools used (e.g., Kubernetes, Terraform)
    — “Deep proficiency with IaC, containerisation and orchestration tools and technologies (Kubernetes, Terraform, Docker)
  • Demonstrate your ability to debug production systems and implement preventive fixes
    — “Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • expanding deployment footprint
  • ensuring fast, secure, and reproducible deployments
  • expanding observability
  • partnering with internal teams
  • responding to incidents
Typical background
infrastructure engineercloud infrastructure experienceIaC

Skills & requirements

Required

Cloud InfrastructureDeployment PipelinesObservabilityArchitecture ReviewsProduction IssuesRoot Cause AnalysisPreventive FixesProduct RoadmapFast-paced Cross-functional SettingsIacContainerizationOrchestrationCi/cd PipelinesSoftware Delivery PrinciplesGitops-style DeploymentsProduction DebuggingPerformance/security Tradeoffs

Preferred

Founder ExperienceSecure Workload ManagementOpen-source ContributionsOn-call/incident Response

Stack & domain

AWSAzureGCPOCIIacContainerisationOrchestrationCI/CDGitopsDebuggingPerformance/security TradeoffsArchitecture ReviewsDesignDeploymentIncident ResponseProduct RoadmapDeployment And ObservabilityCloud ProvidersOn-premisesInternal TeamsCustomer Deployments

About the role

Original posting from Scale AI via Greenhouse

Infrastructure Software Engineer, Apps Platform, London

As an Infrastructure Engineer on the Apps Platform Infrastructure team, you'll help build and evolve our platform’s deployment and observability layers across multiple cloud providers and on-premises, for both internal and customer-managed environments. This is a role for someone who cares about building cloud-agnostic infrastructure and deployment pipelines.

You'll partner closely with internal teams to understand how they use and deploy the platform, debug their issues, and shape a roadmap that balances immediate needs with long-term architecture.

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

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.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision. 

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Source: Scale AI careers (Greenhouse)

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