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Scale AI

Supplies AI training data and builds AI apps

Infrastructure Software Engineer - Apps Platform

Platform EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience building and deploying enterprise and public sector solutions across AWS, Azure, Google Cloud Platform, Oracle Cloud Infrastructure, and on-premises environments.
  • Deep expertise in infrastructure design, networking engineering, virtual private networks, load balancers, and firewalls.
  • Deep proficiency with infrastructure as code, containerization, and orchestration tools and technologies, including Kubernetes, Terraform, and Docker.
  • Comprehensive understanding of continuous integration and continuous delivery 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 and security tradeoffs in production systems.
  • Comfort with ambiguity and the ability to context-switch between reactive incident work and proactive product development.

Responsibilities

  • Expand the platform's deployment footprint to cover on-premises environments, all major cloud platforms, and beyond.
  • Ensure fast, secure, and reproducible deployments across all supported cloud service providers and on-premises environments.
  • Expand platform observability so forward-deployed infrastructure teams can operate customer deployments efficiently.
  • Partner with internal teams deploying the platform to understand their needs, debug issues, and build tooling for their use cases.
  • Respond urgently to incidents and production issues, conduct root cause analysis, and implement 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.

Desired Qualifications

  • 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, such as function-as-a-service, continuous integration sandboxes, or remote notebooks.
  • Open-source contributions to systems or developer-tools projects.
  • History of on-call or incident response for production systems.

About the Company

Scale AI

Supplies AI training data and builds AI apps

Scale AI supplies the data that AI labs use to train and test their models, and it builds custom AI applications for companies and government agencies such as the Pentagon. It first made its name labeling camera and sensor data for self-driving car companies like Waymo, then worked with OpenAI on InstructGPT, the 2022 forerunner of ChatGPT. Freelancers, some of them doctors and lawyers, write, label, and grade examples through its Outlier platform, and labs pay Scale for this data and for tests of model quality. Clients pay Scale to build AI tools on their own data, and some of those tools run on classified military networks. Alexandr Wang and Lucy Guo founded Scale AI in 2016, and it is based in San Francisco.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$1.6B
Headquarters
San Francisco, CA
Founded
2016

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