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Neptune North

Platform Engineer (Core AI Team)

  • Seen live on Neptune North's site today
  • Mid level
Pay
Not stated
Location
Madrid, Spain
Open for
12+ days
First seen
Oct 23, 2026
Apply on Neptune North's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Neptune North's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Neptune North, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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).

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