Jobs / Netherlands / Adyen N V
GenAI Platform Engineer - Madrid OR Amsterdam
Adyen N V · 🇳🇱 Amsterdam; Madrid
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThis employer is on the IND public register of recognised sponsors. Source: Public register of recognised sponsors (Immigration and Naturalisation Service (IND)).
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- Can’t check pay against the visa rulesNo salary stated. Netherlands highly skilled migrant permit needs at least €71,304 a year (under-30: €52,284). Source: https://ind.nl/en/required-amounts-income-requirements, rules effective 2026-01-01.
- Confirmed live todayWhen a source last listed this job as open.
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Sponsor Radar — Adyen N V
This employer is on the IND public register of recognised sponsors. Source: Public register of recognised sponsors (Immigration and Naturalisation Service (IND)).
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About the role
GenAI Platform Engineer - Madrid OR Amsterdam This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. What you'll will be doing: As a GenAI Platform Engineer , you will help build and scale the platform capabilities that enable teams across the company to develop, deploy, and operate LLM-powered applications, agents, and MCP-based integrations. The team focuses on making it easier for engineers to build reliable GenAI systems in production, with strong foundations around developer experience, infrastructure, observability, security, and scalability. You will work on platform capabilities that can be reused across different teams and business use cases, helping engineers move faster without having to solve the same infrastructure problems repeatedly. This is a highly technical role at the intersection of platform engineering, distributed systems, and GenAI. • Develop tooling and infrastructure that improves the developer experience for building, testing, deploying, and operating GenAI systems. • Design and operate services that handle areas such as model access, tool integration, orchestration, evaluation, observability, and runtime infrastructure. • Build scalable and reliable infrastructure on Kubernetes. • Work closely with engineering teams to understand their use cases and turn common requirements into reusable platform capabilities. • Support technically complex and high-impact use cases, helping teams move from experimentation to production. • Own projects end to end, from architecture and design through implementation, deployment, and operation. • Identify areas of the platform that can be simplified, standardized, or made more reliable and scalable. • Work in a cross-functional and cross-border environment with engineers and teams in locations such as Amsterdam, Madrid, San Francisco, and Bangalore. • Collaborate closely with other platform, infrastructure, security, and product teams. • Launch early, iterate often, and use feedback from internal developers to continuously improve the platform. • Contribute to technical design discussions, code reviews, and engineering standards across the organization. Who you are • 4+ years of professional experience in Platform Engineering, DevOps, Data Platform Engineering, MLOps, Backend Engineering, ML Engineering, or a similar role. • You have hands-on experience on Linux system administration, both in cloud and on-premises environments. • You have strong engineering skills, including version control, coding best practices, debugging, testing, and production readiness. • You have hands-on experience building or operating LLM-powered applications, agents, or GenAI platforms in production. • Strong platform engineering experience with Kubernetes, Helm, Argo CD, and GitOps practices. • Experience with observability tools such as Prometheus, Grafana, Kibana, or similar. • You are proficient in Python and comfortable working with backend services and APIs. • You have experience on DevEx and paving the SDLC for users setting up applications on top of your platform. • You have a good understanding of LLM application architectures, including concepts such as tool calling, RAG, agent workflows,