platform engineer in national security and AI safety

Enfint

Greater London

On-site

GBP 90,000 - 120,000

Full time

14 days+
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Job summary

Enfint ищет инженера по инфраструктуре для разработки и поддержки облачных систем на стыке ИИ и национальной безопасности. Вы будете проектировать и разворачивать масштабируемую инфраструктуру, обеспечивать безопасность и устойчивость сервисов, работать с командами ML и инженерами ПО.

Требуется опыт работы с Kubernetes, Terraform/CloudFormation, Docker и Python, умение общаться с заказчиками и внутри команды, готовность работать на стыке госзаказов и у прохождения DV-проверок по мере

Qualifications

  • Поддержание стабильности окружений и ответственность за их доступность.
  • Опыт в сетях облаков, безопасности и IAM для укрепления инфраструктуры.
  • Использование IaC (Terraform/CloudFormation) для повторяемой инфраструктуры.
  • Управление кластерами Kubernetes и Docker в масштабе ML-платформ.

Responsibilities

  • Разрабатывать и строить инфраструктуру облачных платформ по нескольким средам.
  • Создавать и поддерживать масштабируемый IaC для сложных клиентских окружений.
  • Оптимизировать оркестрацию контейнеров через Kubernetes для высокой доступности.
  • Внедрять мониторинг, логирование и алертинг для поддержания работоспособности.
  • Управлять рабочими средами и проводить инцидент-реакцию и RCA.
  • Сотрудничать с инженерами ПО и ML для готовности приложений к эксплуатации.
  • Устанавливать менторство и делиться инженерной практикой.

Skills

Облачная инфраструктура
Kubernetes
Docker
Terraform
CloudFormation
Python
IAM и безопасность

Tools

Terraform
CloudFormation
Kubernetes
Docker
Python

Job description

Описание:

Faculty develops and deploys responsible, human-centric AI for global customers across government, finance, retail, energy, life sciences, and defence. Its National Security and AI Safety business unit supports responsible AI development and deployment for national security, global stability, AI safety, and high-impact missions.

Задачи:

Design and build cloud platform infrastructure across multi-environment setups, including ownership of security controls; Create and manage scalable Infrastructure as Code (IaC) for complex client environments; Optimise container orchestration via Kubernetes to ensure high availability and resource efficiency; Implement advanced monitoring, logging, and alerting frameworks to maintain production system health; Manage production environments and own incident response and root cause analysis; Collaborate with Software and ML engineers to ensure applications are architected for production readiness; Mentor and coach Engineers through peer reviews and the sharing of engineering best practices.

Требования:

Maintain high environment stability and drive infrastructure projects with minimal supervision, taking full accountability for system uptime; Apply deep experience in cloud networking, security, and identity management (IAM) to harden infrastructure against threats; Use Terraform or CloudFormation alongside hands-on coding proficiency to deliver consistent, repeatable infrastructure; Manage Kubernetes clusters and Docker environments at scale for modern ML platforms; Use strong Python skills to build robust platform tooling that allows agentic systems to interact reliably with infrastructure; Translate complex requirements into clear solutions and communicate technical trade-offs to engineering teams and client stakeholders; Be eligible for UK Developed Vetting (DV), if required for government client work.

Условия:

Candidates may need to work on site with government clients from time to time; Part-time hours are open for discussion; The interview process includes a Talent Team Screen, Pair Programming Interview, System Design Interview, and Commercial Interview; Candidates may opt out of the AI note-taker used in interviews.

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