Infrastructure Software Engineer, Apps Platform

Scale AI
London, United Kingdom
On-site

Who this role is best for

Aimed at experienced infrastructure engineers who design and maintain cloud-agnostic deployment systems and collaborate closely with internal teams.

Best fit for

  • Candidates with 5+ years of experience in enterprise infrastructure and cloud deployment across AWS, Azure, GCP, and on-premises environments.
    — “5+ years of experience building and deploying enterprise and public sector solutions across AWS, Azure, GCP, OCI and on-premises”
  • Individuals who have led end-to-end projects and conducted architecture reviews in fast-paced, cross-functional teams.
    — “Lead architecture reviews and own projects end-to-end, from design through deployment, in fast-paced cross-functional settings”
  • Professionals with a track record of ensuring consistent, repeatable deployments using GitOps-style methods.
    — “Experience with GitOps-style deployments and a track record of ensuring consistent, repeatable deployments”

Things to consider

  • A 90-day waiting period is enforced for reapplication to the same role.
    — “Our policy requires a 90-day waiting period before reconsidering candidates for the same role”
  • The role requires a strong ability to balance reactive incident response with proactive product development.
    — “Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development”

How to stand out

  • Highlight experience in multi-cloud and on-premises deployment pipelines in your resume and interviews.
    — “Expand the deployment footprint of our platform to cover both on-premise, all major cloud platforms and beyond”
  • Demonstrate your ability to shape product roadmaps through infrastructure improvements.
    — “Help develop and maintain a product roadmap for deployment and observability”
  • Emphasize your background in debugging production systems and optimizing performance/security tradeoffs.
    — “Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems”
  • Showcase your hands-on experience with IaC, Kubernetes, and CI/CD tools like GitHub Actions.
    — “Deep proficiency with IaC, containerisation and orchestration tools and technologies (Kubernetes, Terraform, Docker)”
  • Demonstrate your ability to understand user needs and build tailored tooling for infrastructure teams.
    — “Partner closely with internal teams deploying the platform to understand their needs, debug issues, and build tooling that serves their use cases”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

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

What success looks like

  • Expanded deployment footprint to cover multiple cloud providers and on-premises
  • Ensured fast, secure, and reproducible deployments
Typical background
5+ years of experience building and deploying enterprise solutions across multiple cloud providers

Skills & requirements

Required

Cloud DeploymentObservabilityInfrastructure DesignNetworkingIacContainerizationOrchestrationCi/cd PipelinesDebugging

Preferred

Gitops DeploymentsOn-call/incident ResponseOpen-source Contributions

Stack & domain

AWSAzureGCPOCIOn-premisesIacKubernetesTerraformDockerCI/CDGithub ActionsCircleciGitopsVPNLoad BalancersFirewallsCloud InfrastructureEnterprise SolutionsPublic Sector

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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