Python Software Engineer, Knowledge Infrastructure

<p><strong>This is Adyen</strong></p> <p>Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&amp;M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.&nbsp;</p> <p>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.</p> <p><strong>Documentation Tooling Team</strong></p> <p>The Documentation Tooling Team is responsible for building the systems and foundations that improve how technical knowledge is created, structured, and delivered across Adyen’s developer ecosystem. You will work on core challenges related to content quality, freshness, consistency, scalability and the ability to make information usable both for people and agents.</p> <p>In this role, you will build the next generation of Adyen’s knowledge platform. This platform turns static documentation into structured, queryable knowledge.This includes structuring content, connecting content from multiple sources and building interfaces that make technical documentation accessible across products and tools as knowledge. Your work will power reliable, contextual and efficient access to information for customers, developers, AI agents and internal teams.</p> <p>The team is a strategic part of the Developer Experience group within the Customer Experience solution. Our mission is to provide clear, accurate, and accessible knowledge that supports customers throughout their integration journey and helps them move quickly with confidence.</p> <p><strong>Core Focus Area</strong></p> <ul> <li><strong>Content Architecture: </strong>Design scalable graph schemas, ontologies, and metadata models that support consistency, reuse, and discoverability across documentation.</li> <li><strong>Serverless Pipeline Orchestration:</strong> Own, configure, and optimize robust AWS serverless pipelines to ingest and process documentation from distributed sources.</li> <li><strong>Knowledge Systems Design: </strong>Design structured knowledge representations that allow information to be connected, navigated and queried programmatically.</li> <li><strong>APIs for Knowledge &amp; AI Access: </strong>Build high-performance retrieval interfaces optimized for developer environments and AI agents.</li> <li><strong>Instrumentation and Quality: </strong>Implement automated controls and validation rules to detect