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2 дня назад

Senior Platform Engineer (AI)

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US/Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Platform Engineer (AI): Own reliability, deployment, and operations of AI platform for scientific workflows with an accent on multi-cloud infrastructure, CI/CD pipelines, and observability. Focus on architecting scalable systems, implementing zero-downtime deployments, and ensuring security/compliance in high-stakes environments.

Location: Barcelona, Spain / Boston, US / Open to Remote. Preferable Timezone EU. Hybrid or remote; for hybrid, ~2 days per week in office (flexible). Occasional travel to Barcelona or Boston offices if remote.

Company

Building verifiable AI systems combining deep learning, formal logic, and physics-based modeling to accelerate semiconductor and photonic hardware development.

What you will do

  • Lead deployment strategies and CI/CD pipelines across multi-environment releases, including blue-green and canary deployments.
  • Architect multi-cloud (Azure, AWS, GCP) and on-premise infrastructure using Terraform and Kubernetes.
  • Build observability systems with monitoring, logging, alerting, and distributed tracing.
  • Implement security controls, compliance, data governance, and incident response processes.
  • Develop Python automation tools, APIs, and runbooks for operational efficiency.
  • Collaborate with teams on architecture, mentor on best practices, and drive reliability improvements.

Requirements

  • 7+ years in Platform Engineering, SRE, DevOps, or Infrastructure Engineering.
  • Deep expertise in CI/CD, deployment strategies, Azure/AWS (GCP plus), Terraform, and observability.
  • On-premise Linux deployment, Kubernetes, security best practices (certification preferred).
  • Python/Go scripting, strong Linux admin, GitOps, problem-solving skills.
  • Fluent English (Spanish plus).

Nice to have

  • Cloud AI platforms (Vertex AI, Azure ML, SageMaker).
  • GPU/ML infrastructure, service mesh, FinOps, compliance (SOC 2, ISO 27001).
  • Database ops (PostgreSQL, Redis), FastAPI, open-source contributions.
  • Hardware/semiconductor background.

Culture & Benefits

  • Work on cutting-edge AI for hardware innovation aligned with 30x30 mission.
  • Global team of engineers and AI specialists.
  • Flexible hybrid/remote arrangements depending on location and needs.
  • Inclusive workplace encouraging diverse applicants.

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