В Scale AI предлагают понятную senior-роль в инфраструктуре для растущего AI-сектора, с современными инструментами и заметной ответственностью; без указания зарплаты и с обязанностями по инцидентам уровень оплаты и нагрузка менее предсказуемы.
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Зарплата не указанаРеагирование на инцидентыСовременный стекСфера AIОтветственность за проекты
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Infrastructure Software Engineer, Apps Platform (Cloud Infrastructure): Building cloud-agnostic deployment and observability layers for internal and customer-managed environments across major cloud providers and on-premises with an accent on secure, reproducible delivery and platform operations. Focus on designing infrastructure with Kubernetes, Terraform, and Docker, leading architecture reviews, debugging production issues, and developing deployment and observability tooling.
Location: London, UK
Company
Scale AI develops reliable AI systems, high-quality data, and full-stack technologies for AI applications used by enterprises and governments.
What you will do
Expand platform deployments across on-premises environments and major cloud service providers.
Ensure fast, secure, and reproducible deployments across supported cloud and on-premises environments.
Expand platform observability so infrastructure teams can operate customer deployments efficiently.
Partner with internal platform users to understand deployment needs, debug issues, and build supporting tools.
Respond to incidents, perform root cause analysis, and implement preventive fixes.
Develop the deployment and observability roadmap, lead architecture reviews, and own projects from design through deployment.
Requirements
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, containerisation, and orchestration using 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 ensuring consistent, repeatable deployments.
Strong debugging skills and the ability to navigate performance and security trade-offs in production systems.
Comfort with ambiguity and the ability to switch between reactive incident work and proactive product development.
Nice to have
Experience as a founder or early infrastructure-focused startup engineer with end-to-end product ownership.
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.
Experience with on-call or incident response for production systems.
Culture & Benefits
Inclusive and equal opportunity workplace.
Reasonable accommodations are available during the application and recruiting process.
Personal data is handled under internal privacy and data-protection policies.
Hiring process
Candidates must wait 90 days before being reconsidered for the same role.
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