Platform Engineer - AI-Driven Platform & Deployments

Neptune North Ltd.; Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Neptune North Ltd. in Madrid is seeking a Platform Engineer for the Core AI Team to design and build platforms enabling engineers and business users to self‑serve deployments and workflows.

You will implement infrastructure to enforce lifecycle plans and ensure safe production deployments, collaborating with client teams to translate needs into platform capabilities. Strong practitioner of Python, Docker, Kubernetes and cloud tooling, with a focus on observability, GitOps and CI/CD.

Formación

• Product-minded platform mindset with focus on real user impact.
• Systems thinking to manage second-order effects in distributed systems.
• Strong proficiency in Python, Docker, Kubernetes, Cloud (Azure), GitOps, CI/CD.
• Excellent communication with both technical and non-technical stakeholders.
• Curiosity, honesty and willingness to admit gaps and dive deeper.
• Minimum 7.0 degree in Computer Science or related field from a top university.

Responsabilidades

• Design and build platforms enabling self-serve deployments and workflows for engineers and business users.
• Implement infrastructure to enforce lifecycle plans and safe production deployments.
• Partner with client teams to translate needs into platform capabilities.
• Promote software engineering best practices across client teams.
• Stay current with AI-assisted coding tools and integrate them into workflows.

Conocimientos

Python

Docker

Kubernetes

Cloud (Azure)

GitOps

CI/CD

Systems thinking

Product mindset

Communication skills

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Grafana

OpenTelemetry

ELK stack

Descripción del empleo

Neptune North Ltd. in Madrid is seeking a Platform Engineer for the Core AI Team to design and build platforms enabling engineers and business users to self‑serve deployments and workflows.

You will implement infrastructure to enforce lifecycle plans and ensure safe production deployments, collaborating with client teams to translate needs into platform capabilities. Strong practitioner of Python, Docker, Kubernetes and cloud tooling, with a focus on observability, GitOps and CI/CD.