The opportunity
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.
What you'll do
Engineer application & integration solutions: Design, develop, and maintain custom applications, programmatic API integrations, webhooks, and middleware connecting Workday HCM with Greenhouse, Qualtrics, Docebo, Slack, and internal platforms.
Extend platform capabilities: Build custom app extensions and tailored UI/UX workflows utilizing Workday Extend, Python frameworks, and modern low-code/no-code platforms.
Automate operational friction: Follow our "simplify first, then automate" philosophy to eliminate point-to-point manual processes and technical debt. Research, prototype, and deploy automated workflows and custom AI agents (e.g., using Google Vertex AI / Gemini Enterprise). You are curious about emerging technologies (like generative AI and automated agents) and know when they genuinely add business value.
Design for security, privacy, and governance: Embed strict access controls, data security, and compliance (GDPR) into all software architectures, ensuring responsible boundaries for handling employee data. You treat security, privacy, and system governance as fundamental engineering requirements.
Set engineering standards & documentation: Establish clear software engineering practices, API specifications, and maintainable technical documentation so solutions can be easily supported and scaled. You move comfortably between technical architecture details and broad operational context.
Partner across Product & Engineering: Collaborate closely with Core People Tech specialists, Data Engineers, Security, and HR functional leads to translate complex business needs into clean technical solutions. You start with the problem rather than forcing a specific technology, balancing speed with long-term code maintainability.
