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Jobs / Scaleai

Infrastructure Software Engineer, Apps Platform

Scaleai · London, UKsenior

In short

  • ▸Ingeniero de infraestructura que construye y evoluciona plataformas de despliegue y observabilidad en múltiples nubes y entornos on-premises.
  • ▸Trabajas de cerca con equipos internos para resolver problemas, diseñar herramientas y liderar proyectos desde la arquitectura hasta el despliegue.
  • ▸Destaca el enfoque en infraestructura multi-nube y despliegues reproducibles con GitOps y CI/CD.

Experiencia en entornos de producción con sistemas multi-tenant o no confiables (por ejemp

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What they ask for

  • ✓5+ años construyendo soluciones empresariales y del sector público en AWS, Azure, GCP, OCI y on-premises
  • ✓Experto en diseño de infraestructura, redes, VPNs, balanceadores de carga y firewalls
  • ✓Proficiencia con IaC, contenedores y orquestación (Kubernetes, Terraform, Docker)
  • ✓Conocimiento avanzado de pipelines CI/CD con GitHub Actions o CircleCI
  • ✓Experiencia en despliegues GitOps y despliegues consistentes y repetibles
  • ✓Habilidades sólidas de depuración y toma de decisiones en entornos de producción

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

AWSAzureGCPOCITerraformKubernetesDockerGitHub ActionsCircleCIGitOps

Who should you write to at Scaleai?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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 emp

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