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Jobs / Lightningai

Senior Infrastructure Operations Engineer (EMEA)

Lightningai·Londonsenior

In short

  • →Ingeniero de operaciones de infraestructura senior para EMEA, enfocado en sistemas escalables de IA
  • →Gestión diaria de la plataforma en la nube: CI/CD, monitoreo, seguridad y escalabilidad
  • →Destacado por empoderar a equipos de IA con una infraestructura de alto rendimiento y automatización

Fluency in English required for collaboration across global teams.

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The questions they'll ask you

1. ¿Cómo diseñarías la observabilidad para un cluster Kubernetes que ejecuta entrenamiento en IA a gran escala?

2. Describe un caso en que optimizaste costos sin comprometer la disponibilidad en un entorno de producción.

3. ¿Qué estrategias usarías para asegurar la seguridad de pipelines CI/CD en un sistema de IA?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

  • ✓Al menos 5 años de experiencia en ingeniería de operaciones o SRE
  • ✓Experiencia sólida con Kubernetes y servicios en la nube (AWS, GCP o Azure)
  • ✓Conocimiento avanzado en CI/CD y herramientas como ArgoCD o GitLab CI
  • ✓Habilidades en scripting (Python, Bash)
  • ✓Experiencia en monitoreo y observabilidad (Prometheus, Grafana, Loki)
  • ✓Capacidad para operar en entornos de tiempo real con alta disponibilidad

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

KubernetesDockerAWSGCPArgoCDGitLab CIPrometheusGrafanaLokiTerraform

Who should you write to at Lightningai?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: • Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. • Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. • Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. • Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. • Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. • Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. *]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:6da214d3-9e35-4d43-89b6-34d5a76ffba7-1" data-turn-id-container="request-WEB:6da214d3-9e35-4d43-89b6-34d5a76ffba7-1" data-testid="conversation-turn-4" data-scroll-anchor="false" data-turn="assistant"> <div class="[--thread-content-max-width:40rem] @w-lg/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-

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