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System Engineer Hybrid

Trabajo disponible en: 08001, Barcelona, Cataluna, España
Empresa: eDreams ODIGEO
Tiempo completo posición
Publicado en 2025-12-30
Especializaciones laborales:
  • Desarrollo de Software
    Ingeniero de Software, DevOps, Ingeniero de IA, Ingeniero Cloud
Rango Salarial o Referencia de la Industria: 50000 - 70000 EUR Anual EUR 50000.00 70000.00 YEAR
Descripción del trabajo
Puesto: System Engineer – (Hybrid)

Why eDreams ODIGEO

Join the world’s leading travel subscription platform.

Overview

Millions of customers every year across 44 markets – 5 brands – over 7.7 million Prime members since launching in 2017. More than 100 million searches per day on our websites – more than 6 billion AI daily predictions. Over 1,700 employees – More than 60 different nationalities from all continents – 99% permanent contracts.

We’re the world’s leading travel subscription platform. We pioneered Prime, the first and largest travel subscription programme, which has topped over 7.7 million members since launching in 2017. Prime members are subscribed to global travel, gaining access to a comprehensive multi-product offering for all their travel needs—including hotels, rail, flights, dynamic packages and car rental, among others—compounded by industry‑leading flexibility features and exclusive, member‑only benefits.

This entire Prime experience is powered by a proprietary, industry‑leading AI platform that delivers a smarter, hyper‑personalised service and comprehensive travel experience globally to its members.

What you will do

The Role’s Key Responsibilities and Tasks

  • Lead Fin Ops Initiatives: Drive the implementation of the Fin Ops framework across the company, focusing on cost management, optimization, and financial accountability.
  • Build the IDP: Implement and enrich our Internal Developer Platform (Backstage) to improve developer experience.
  • Engineer Infrastructure: Provision infrastructure and services including deployment platforms, monitoring, and security tools.
  • Automate Everything: Automate, test, and deploy robust solutions to streamline processes. Maintain and optimize this automation for high scalability.
  • Innovate with AI: Implement and deploy AI agents for specialized task execution.
  • R&D: Research emerging technologies to continuously evolve the platform.
Tech stack

You will work with a top‑notch tech stack, including:

  • Cloud & Containerization: Google Cloud Platform (GCP), Kubernetes (GKE), Docker, Helm,…
  • IaC & Git Ops: Terraform, ArgoCD, Flux, Crossplane.
  • Internal Platform:Backstage (Spotify).
  • Platform & Observability: Datadog, Big Query, Grafana, istio observability tools,…
What you need to succeed

Good to have
Bring your unique perspective, speak up, and offer disruptive solutions. You’ll have the opportunity to learn and grow while making a real impact on our team. Here’s what you need to succeed:

  • Experience:5+ years of Dev Ops/Platform Engineering experience maintaining complex information systems.
  • Critical Thinking & Strategic Mindset:You don’t just execute tasks; you challenge assumptions. You have the ability to evaluate architectural trade‑offs (e.g., build vs. buy) and analyze the cost‑benefit impact of technical decisions (Fin Ops).
  • Cloud Native:Proven expertise with container orchestration (Kubernetes) and cloud services, ideally Google Cloud Platform (GCP).
  • Coding:Strong programming skills in Python Or Go are essential.
  • Tooling:Strong command of Git, Docker, Helm, and CI systems (Jenkins, Git Lab‑CI).
  • Deployment:Expertise in Git Ops tools like ArgoCD or Flux.
  • Infrastructure as Code:Proficiency with Terraform..
  • Bonus:Previous knowledge or experience with Fin Ops methodologies.
Preferred Qualifications
  • Experience with Applied AI Tools:Demonstrated comfort using practical AI tools such as Git Hub Copilot, ChatGPT, or other AI‑powered coding assistants.
  • Experimentation Mindset:Curiosity and eagerness to explore, experiment with, and integrate emerging AI‑driven solutions into software development workflows.
  • AI‑Enhanced Problem Solving:Ability to effectively leverage AI tools to debug code, streamline development processes, and enhance productivity.
  • Adaptability and Learning Agility:Enthusiastic about continuously learning and quickly adapting to new AI features and capabilities.
  • Collaboration with AI:Experience or interest in collaborating closely with AI tools as “pair programmers” to complement traditional software development practices.
What’s in it for you

The best talent deserves the best benefits

Here’s what we offer
  • A rewarding Compensation package!💥 Prime Plus membership, competitive salary and benefits package,…
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