About Revolut People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. We're looking for a Python Software Engineer to build the core infrastructure that powers our AI ecosystem — from large-scale data pipelines to Generative AI applications. You'll create modern, production‑grade systems from the ground up, solving complex engineering challenges at a global scale.
What You'll Be Doing Designing, building, and maintaining scalable services that support the AI lifecycleDeveloping infrastructure and APIs that integrate third‑party services and grow with the businessImplementing and managing robust CI/CD pipelines to validate, deploy, and monitor a diverse range of modelsBuilding and scaling APIs and SDKs for serving AI models and systemsEnsuring low latency and high availability to meet business needsPartnering with product teams to design and deliver accessible AI solutionsBuilding frameworks to track data drift, model decay, and operational healthEstablishing the backbone for AI governance and reproducibilityVersioning data and models and managing a central feature storeTracking lineage to ensure a clear, auditable path from research to production

What You'll Need




A degree in a STEM field or equivalentA solid foundation in computer science principlesA proven track record designing and operating scalable backend systems in production environmentsProficiency in Python as your primary language, with solid command of additional programming languagesExpertise in distributed systems and modern infrastructure practices, like containerisation and orchestrationHands‑on experience addressing challenges across the AI/ML lifecycle, including deployment, orchestration, and model management
Nice to have Experience with infrastructure as code (IaC) tools, like Terraform or AnsibleFamiliarity with frameworks for high‑performance model serving, especially for large‑scale or Generative AI modelsExperience building internal platforms or developer toolsExperience integrating third‑party APIs and services to build resilient, production‑grade solutionsKnowledge of data and model versioning strategies and toolsSide projects or contributions to open‑source projects
Building a general financial super app isn’t enough. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers.

📌 Software Engineer (España)
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📍 España