ironquill.tech/board

$ cat jobs/senior-software-engineer-customer-interfaces-adyen-9168fdb7d88c.json

Senior Software Engineer - Customer Interfaces

Adyen·US·San Francisco·senior
vuejava
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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. The Role As a Senior Full Stack Engineer for Customer Interfaces in San Francisco, you will lead the evolution of Adyen’s experience platform, building the foundational frameworks, AI-integrated guardrails, and component libraries that empower global teams to ship secure, conversational financial experiences. We are looking for a product-minded engineer who can build end-to-end streaming, multi-modal user interfaces while architecting backend agentic workflows (specifically Tool-use, Chains, and Policy Layers). In this role, AI is not a standalone job title or a hypothetical sandbox; it is an integrated engineering capability used to transform natural language inputs into authenticated, secure financial operations. What You’ll Do Drive Intelligent Customer Interfaces: Lead the next generation of UIs at Adyen, building Dynamic/Agentic UI components in Vue/Preact that adapt in real time beyond static dashboards. Architect backend integration: Design performant Java services that orchestrate data pipelines and integrate with Agentic workflows to handle tool-use, chain execution, and state synchronization. Raise the Bar: Set engineering standards for the team and company. Provide mentorship through problem decomposition, research methodology, and code review. Champion reproducibility, documentation, and rigorous evaluation practices across the AI

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