Adyen: 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.

At a glance

Money Where It Matters

Employees receive Adyen+, a monthly stipend to spend on what is important to them.

R+R

With unlimited PTO, folks can take time to recharge — no strings attached.

Globetrotter

Employees can work from one of Adyen’s 28+ global offices for up to three months through its global exchange program.

Find Community

ERGs, internal events and a commitment to service bring colleagues together.

Recently posted jobs

2 Days AgoSaved
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Hybrid
Chicago, IL, USA
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Fintech • Payments • Financial Services
Create and maintain structured developer documentation for APIs, SDKs, and integrations. Design metadata schemas, ontologies, and context rules for AI-assisted content generation; review and fact-check generated documentation and code snippets; author API references and conceptual guides in Git- and Markdown-based docs-as-code workflows; and collaborate with product, engineering, support, and implementation teams to validate technical accuracy and merchant integration flows.
4 Days AgoSaved
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Hybrid
Chicago, IL, USA
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Fintech • Payments • Financial Services
Design, build, and operate Kubernetes-based container orchestration and supporting infrastructure across a global private cloud. Drive automation, tooling, and GitOps workflows; ensure availability and performance, participate in on-call rotations, lead incident response and postmortems, and collaborate on multi-region resilience and platform modernization.
4 Days AgoSaved
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Hybrid
Chicago, IL, USA
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Fintech • Payments • Financial Services
Lead Adyen’s Personalize Intelligence team developing machine-learning systems for real-time Checkout optimization and AI products. Provide technical leadership on architecture, reliability, and scalable services; coach machine learning scientists and data engineers; define goals and product roadmaps with Product; collaborate across Design, Engineering, Data, and leadership; monitor system performance; foster an inclusive, high-performing culture; and recruit new team members.