Platform Engineer (Core AI Team)

Neptune North Ltd.; Madrid; On-site; EUR 60,000 - 90,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

Docker

Kubernetes

Cloud (Azure)

GitOps

CI/CD

Systems thinking

Product mindset

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

Grafana

OpenTelemetry

ELK stack

Job description

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).