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
- 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
- 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 [email protected]. 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.
Skills Required
- 5+ years of experience building and deploying enterprise and public sector solutions across AWS, Azure, GCP, OCI, and on-premises environments
- Deep expertise in infrastructure design, networking engineering, VPNs, load balancers, and firewalls
- Deep proficiency with infrastructure as code, containerization, and orchestration tools including Kubernetes, Terraform, and Docker
- Comprehensive understanding of CI/CD pipelines and software delivery principles using GitHub Actions or CircleCI
- Experience with GitOps-style deployments and consistent, repeatable deployments
- Strong debugging skills and ability to navigate performance and security tradeoffs in production systems
- Comfort with ambiguity and context-switching between incident response and proactive product development
- Experience as a founder or early engineer at an infrastructure-focused startup
- Experience running secure workloads in multi-tenant or untrusted environments, such as FaaS, CI sandboxes, or remote notebooks
- Open-source contributions to systems or developer-tools projects
- History of on-call or incident response for production systems
Scale AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scale AI and has not been reviewed or approved by Scale AI.
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Healthcare Strength — Company materials and third‑party pages describe comprehensive medical, dental, and vision coverage along with mental‑health services and an EAP. Health insurance is portrayed as strong, with options like HSA/FSA and indications of high premium coverage.
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Leave & Time Off Breadth — Descriptions highlight generous PTO, paid holidays and sick time, bereavement, volunteer time, and role‑dependent flexibility or remote options. This breadth is positioned as part of a supportive time‑off approach, with specifics varying by location.
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Equity Value & Accessibility — Full‑time offers commonly include equity and an ESPP, which can meaningfully lift total compensation, especially in engineering and senior roles. Job postings and compensation snapshots consistently reference base‑plus‑equity packages aligned with competitive AI market pay.
Scale AI Insights
What We Do
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
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