Назад
11 часов назад

Senior Platform Engineer (Kubernetes)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US/Japan +3 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Platform Engineer (Kubernetes): Building and operating the hybrid compute layer for DeepL's AI products with an accent on Kubernetes control plane, GPU infrastructure, and cloud-on-prem unification. Focus on designing production-grade clusters, driving infrastructure-as-code standards, and ensuring reliability across AWS and on-prem environments.

Location: Must be based in or able to commute to Cologne, Berlin, or Munich (Hybrid: 2 days/week in office)

Company

DeepL is a global AI product and research company building intelligent language solutions trusted by millions of users and businesses worldwide.

What you will do

  • Design, build, and operate production-grade Kubernetes clusters across hybrid cloud and on-prem infrastructure.
  • Take ownership of the reliability, capacity, and cost efficiency of compute infrastructure, including CPU and GPU resources.
  • Unify workload management across on-prem hardware and AWS to provide a self-service foundation for product and research teams.
  • Define infrastructure-as-code standards and strengthen observability and security across the platform.
  • Lead incident response for hybrid infrastructure and mentor engineers to raise the technical bar of the group.

Requirements

  • Deep, hands-on Kubernetes expertise with experience operating clusters at scale.
  • Strong background in either public cloud (AWS preferred) or on-prem infrastructure, with the ability to work in both.
  • Proficiency in Linux and networking, with the ability to debug complex issues from container to network edge.
  • Experience with Infrastructure as Code (Terraform) and GitOps delivery (ArgoCD).
  • Software engineering skills in Go or Python, focused on building reliable tooling.
  • Proven track record of technical ownership and ability to drive consensus across engineering teams.

Nice to have

  • Experience with GPU infrastructure for training or inference at scale.
  • Knowledge of distributed storage systems like Ceph.
  • Experience supporting researchers or data scientists as platform customers.
  • Networking expertise at the BGP level.

Culture & Benefits

  • Hybrid work model with flexible hours and a requirement to be in the office twice a week.
  • Virtual Shares program providing every employee with a stake in the company's future.
  • 30 days of annual leave plus public holidays.
  • Monthly Hack Fridays dedicated to personal projects and cross-team collaboration.
  • Regular in-person team events and company-wide gatherings.
  • Competitive benefits package tailored to your location.

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