3 дня назад
Platform Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Platform Engineer (AI/cloud infrastructure): Building and optimising cloud platform infrastructure and automated deployment solutions for complex national security and AI safety projects with an accent on multi-environment architecture, security controls, and production reliability. Focus on designing scalable Infrastructure as Code, managing Kubernetes and Docker platforms, implementing observability, and solving incident response and root cause analysis challenges.
Location: London, United Kingdom; hybrid work with occasional on-site work for government clients
Company
builds and deploys responsible AI solutions for government, finance, retail, energy, life sciences, and defence clients.
What you will do
- Design and build cloud platform infrastructure across multi-environment setups, including security controls.
- Create and manage scalable Infrastructure as Code for complex client environments.
- Optimise Kubernetes clusters and Docker environments for high availability and resource efficiency.
- Implement monitoring, logging, and alerting frameworks for production system health.
- Manage production environments, incident response, and root cause analysis.
- Collaborate with Software and ML Engineers and mentor Engineers through peer reviews and engineering best practices.
Requirements
- Deep experience with cloud networking, security, and identity management.
- Hands-on proficiency with Terraform or CloudFormation and infrastructure automation.
- Experience managing Kubernetes clusters and Docker environments at scale.
- Strong Python skills for building reliable platform tooling.
- Ability to translate complex requirements into clear solutions and communicate technical trade-offs with engineers and clients.
- Eligibility for UK Developed Vetting may be required, along with willingness to work on site with government clients from time to time.
Culture & Benefits
- Work on responsible AI, national security, and AI safety projects with significant real-world impact.
- Collaborate with government clients, frontier labs, and major technology organisations.
- Join a diverse, inclusive environment focused on intellectual curiosity and measurable positive impact.
- Part-time hours can be discussed.
- AI tools may be used for research and interview preparation, but not to generate answers during live interviews.
Hiring process
- 30-minute Talent Team screen.
- 90-minute pair programming interview and 90-minute system design interview.
- 60-minute commercial interview.
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