ironquill.tech/board

$ cat jobs/staff-engineer-observability-adyen-23a7b873ec61.json

Staff Engineer - Observability

Adyen·EU·Amsterdam·senior
kubernetes
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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. Staff Engineer - Observability As a Staff Engineer in the Observability domain, you will act as the technical North Star driving the long-term evolution of our global telemetry and monitoring ecosystem. Our platform is at a pivotal turning point: we are transitioning from a traditional observability platform toward an intelligent, proactive companion that leverages automation to drastically reduce cognitive load and incident resolution times. In this role, you will bridge the gap between our high-scale telemetry infrastructure (managing thousands of hybrid bare-metal and Kubernetes environments),our developer-facing software pipelines (processing billions of daily events), and observability experience in alerting and visualization. You will play a defining role in shaping and executing our strategic roadmap focused on Intelligent Observability, Unified Data Foundation, and Zero-Friction Configuration. 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

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