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
Drive Strategic Architecture: Architect and execute the technical strategy for our unified, global observability platform, aligning long-term product vision with resilient, highly scalable engineering designs.
Scale the Data Foundation: Lead the architectural revamp of our petabyte-scale search, logging, and metrics systems. You will guide the transition from legacy, over-extended datastores to highly optimized, regionalized, and multi-tenant telemetry pipelines.
Enable Intelligent Observability: Architect the APIs, secure interfaces, and integration protocols that connect our unified data foundation to autonomous AI agents, enabling real-time diagnostics and conversational query tools.
Establish Resilient Topologies: Deconstruct monolithic monitoring setups into isolated, high-availability regional architectures to minimize blast radiuses and ensure global operational stability.
Simplify Developer Experience: Collaborate with product and engineering teams to design self-service developer tooling, leveraging GitOps-driven configuration models, automated schema enforcement, and intuitive quota and retention management.
Technical Leadership & Guidance: Provide high-level technical direction across the observability domain, fostering engineering excellence, championing robust design reviews, and guiding engineers through complex distributed systems challenges.
What they're looking for
- Advocate Company-Wide: Act as a technical advocate for the domain, partnering with engineering groups across Adyen to align telemetry capabilities with broader organizational needs, build and drive the adoption of developer-facing tools, and promote modern observability standards.
- + years of experience in software, systems, or platform engineering,: including 3+ years in a similar technical leadership role within the observability or large-scale distributed data systems domain.
- Distributed Systems & Storage Expertise: Deep, hands-on experience designing, scaling, and operating core telemetry data engines (such as distributed search databases, time-series metrics systems, high-performance logging architectures) at a multi-petabyte scale.
- AI-Ready Telemetry Design: Practical understanding of how to structure, schema-enforce, and clean high-volume telemetry streams to make them highly optimized for consumption by LLMs, semantic search engines, and RAG pipelines.
