3 часа назад
Platform Engineer (AI Infrastructure)
110 000 - 140 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Platform Engineer (AI Infrastructure): Building Kubernetes-native platform capabilities for large-scale GPU compute infrastructure, including APIs, compute, storage, confidential computing, and customer-facing services with an accent on production platform code, infrastructure automation, and reliable resource lifecycle management. Focus on designing Kubernetes operators, operating distributed systems, integrating security controls, and solving observability, compatibility, and incident-response challenges.
Location: London, UK; hybrid
Salary: £110K–£140K per year, plus discretionary bonus and equity
Company
is building a vertically integrated AI infrastructure platform that provides large-scale GPU compute, virtual machines, storage, networking, and software through a Kubernetes-native infrastructure stack.
What you will do
- Design and implement Kubernetes operators and controllers that manage platform resource lifecycles.
- Translate product roadmap requirements and operational learnings into scalable platform capabilities.
- Build and maintain platform components across control planes, APIs, compute, storage, confidential computing, or customer-facing services.
- Instrument services, define meaningful metrics, and develop tooling for platform observability.
- Own production services, participate in on-call rotations and incident response, and resolve structural reliability gaps.
- Define clean interfaces, manage versioning and backward compatibility, and contribute to code reviews and technical design discussions.
Requirements
- 3–5 years of software engineering experience, including meaningful infrastructure or platform systems experience.
- Strong backend or systems programming experience in a production environment; working languages include Python, Go, and Rust.
- Solid understanding of Kubernetes internals, including control loops, CRDs, controllers, operators, and reconciliation logic.
- Working knowledge of Linux, networking fundamentals, and distributed systems behavior.
- Experience designing, building, and versioning production-grade APIs or service interfaces with backward compatibility.
- Experience operating production systems, debugging incidents, and applying clean code, testing, version control, code review, and CI/CD practices.
Nice to have
- Depth in Go or Rust, AI-assisted development, or Kubernetes operator frameworks such as Kopf or controller-runtime.
- Experience with confidential computing, including TEEs, AMD SEV, Intel TDX, or Confidential Containers.
- Experience with high-performance networking, distributed storage, observability tooling, SaaS or PaaS layers, serverless infrastructure, GPU infrastructure, or HPC environments.
- Experience integrating security requirements into platform systems or working across distributed time zones.
Culture & Benefits
- Supportive, trusted environment focused on growth and sustainable work-life balance.
- Equity participation in .
- Retirement or pension contributions.
- Comprehensive health, wellbeing, and insurance benefits.
- Generous annual vacation allowance.
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