Platform Engineer, Core AI — Self-Serve Deployments

Neptune North

Madrid

Presencial

EUR 60.000 - 90.000

Jornada completa

14 días+

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Descripción de la vacante

Neptune North is seeking a Platform Engineer for the Core AI Team in Madrid to design and build client platforms enabling self-serve deployments and workflows. You will implement infrastructure enforcing safe transitions from development to production and partner with client teams to translate needs into practical platform capabilities.

The role requires strong Python, Docker, Kubernetes, and Cloud skills (Azure preferred), plus GitOps and CI/CD expertise, excellent communication, and a

Formación

  • Proficiency in Python, Docker, Kubernetes, Cloud (preferably Azure), GitOps, CI/CD.
  • Excellent communication skills with technical and non-technical stakeholders.
  • Product engineer mindset: treat the platform as a product and prioritize impact.
  • Strong systems thinking and awareness of second-order effects.

Responsabilidades

  • Design and build platforms for clients enabling self-serve deployments and workflows.
  • Implement infrastructure to enforce safe, consistent deployments from development to production.
  • Collaborate with client engineering and business teams to translate needs into platform capabilities.
  • Promote software engineering best practices across client teams (quality, testing, workflows).
  • Stay up-to-date with AI-assisted coding tools and integrate them into client workflows for productivity gains.

Conocimientos

Python
Docker
Kubernetes
Cloud (Azure)
GitOps
CI/CD
Communication skills
Product mindset
Systems thinking
Curiosity/ownership

Educación

Computer Science degree

Herramientas

Grafana
OpenTelemetry
ELK stack

Descripción del empleo

Neptune North is seeking a Platform Engineer for the Core AI Team in Madrid to design and build client platforms enabling self-serve deployments and workflows. You will implement infrastructure enforcing safe transitions from development to production and partner with client teams to translate needs into practical platform capabilities.

The role requires strong Python, Docker, Kubernetes, and Cloud skills (Azure preferred), plus GitOps and CI/CD expertise, excellent communication, and a

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