$ cat jobs/staff-software-engineer-observability-adyen-cc957d2ab60a.json
Staff Software Engineer - Observability
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 Software Engineer - Platform Observability Adyen provides a global, unified platform with a wide variety of financial services. Observability plays a key role providing comprehensive data to a wide variety of use cases, ensuring the platform’s reliability and supporting our operations to run smoothly. As part of the Observability team you will build and maintain products and services that enable engineers at Adyen to understand how their services are behaving in real-time, reliably diagnose issues and streamline data discovery through a common observability ecosystem. Between logs, metrics and traces, our platform collects and processes billions of events per day. What you will do: As a Staff Software Engineer working on the observability of the platform, you will play a key role in shaping how teams work with telemetry data, driving strategic decisions, identifying and advocating for best practices for building, running and maintaining observable components. This includes: Define and lead Logging, Metrics, Tracing & Alerting strategies Solve scaling bottlenecks in critical services in our telemetry data pipelines Create advanced tooling to accelerate root-cause analysis, reduce Mean Time to Resolution (MTTR), and eliminate alert fatigue Guide and mentor software engineering and SRE teams on monitoring best practices and instrumenting c
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