Platform Engineer (Core AI Team)

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

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

Platform Engineer (Core AI Team) - Madrid

Responsibilities

• Design and build platforms for our clients, enabling both engineering teams and business users to self-serve deployments and workflows – finding a balance between empowerment and control.
• Implement infrastructure to enforce application lifecycle plans, ensuring deployments are managed safely and consistently from development through to production.
• Partner closely with client engineering and business teams to understand how they work and translate their needs into platform capabilities.
• Disseminate software engineering best practices across client teams, including code quality, testing, and development workflows.
• Stay current with advances in AI-assisted and agentic coding tools, and lead the integration of these into client development workflows to drive measurable productivity gains.

What makes a great candidate

• A product engineer mindset - you treat the platform as a product, gather feedback from internal users (technical and non-technical alike), and prioritise based on real impact.
• Strong systems thinking - you understand how changes propagate across distributed systems and design with second-order effects in mind.
• Strong proficiency in Python, Docker, Kubernetes, Cloud (preferably Azure), GitOps, CI/CD.
• Excellent communication skills - able to engage clearly with both technical and non-technical stakeholders, and translate between the two.
• Intellectual curiosity and honesty - driven by a need to understand how things work under the hood, you ask the right questions, challenge assumptions respectfully, and are as comfortable saying ‘I don’t know’ as diving deep to find the answer.
• A minimum 7.0 degree obtained in Computer Science, or a related field, from a top ranked university, as well as strong Bachillerato results (or international equivalents).

We would also prefer you to have

• Experience working in or alongside sell-side or buy-side financial services, with an appreciation for the pace, rigour and terminology of those environments — and the soft skills to engage effectively with senior stakeholders for whom time is at a premium.
• Familiarity with observability tooling (Grafana, OpenTelemetry, ELK stack).