Experteer Overview
In this role you will build and operate the core platform that empowers all engineering teams at Ebury. You will own production code, infrastructure, and platform abstractions used across products, helping to scale and secure our global fintech platform. You’ll work across AWS/GCP, IaC, and CI/CD tooling, collaborating with cross-functional teams to improve observability, reliability, and cost. This position offers the chance to shape the developer experience and drive an AI-assisted SDLC initiative.

Compensaciones / Ventajas
• Build and run the platform on AWS
• Maintain and extend Terraform and tooling libraries across AWS and GCP
• Improve the deploy path using ArgoCD and GitHub Actions
• Write services and tooling in Go, Python, and TypeScript for developer-facing use
• Enhance observability (Datadog), reliability, security and cost
• Debug production issues spanning apps, Kubernetes, networking, and cloud services
• Evolve the Platform for an AI-assisted SDLC using frontier labs and OSS models




• Review code, contribute to architecture decisions, and set platform standards

Responsabilidades
• 7+ years of software, backend, platform or infrastructure engineering experience
• Strong production experience with Go, Python or JavaScript/TypeScript
• Hands-on production workloads on AWS and/or GCP
• Terraform or similar IaC
• Containers and Kubernetes in production, at scale
• Understanding of distributed systems, APIs, networking, concurrency, data consistency and failure modes
• Track record of building platforms or core systems used by other engineers
• Ability to diagnose complex production issues across applications, infrastructure and cloud services
• Strong code-review and system-design skills
• Excellent written and verbal communication in English

Requisitos principales
• hybrid work: 4 days in office, 1 day remote

📌 Staff Platform Engineer (Madrid)
🏢 Ebury
📍 Madrid