# Staff Engineer - Observability **Company**: Adyen **Location**: Amsterdam **Work arrangement**: onsite **Experience**: staff **Job type**: full-time **Category**: Engineering **Industry**: Technology **Apply**: https://job-boards.greenhouse.io/adyen/jobs/7989158?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_42d7aa4a-d1f ## Description At Adyen, everything we do is engineered for ambition. 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. ## Responsibilities - 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. - 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. - 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. ## Requirements - 10+ 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. - Telemetry Standardization: Experience adopting industry-standard telemetry collection frameworks (such as OpenTelemetry) and implementing SLO-driven alert governance. - Software Engineering Mindset: Strong proficiency in software development (ideally in Go, Java, or Python) with a history of building production-grade, automated tooling and robust real-time data ingestion pipelines. - Kubernetes & Infrastructure Fluency: Extensive experience operating and troubleshooting high-throughput workloads on production Kubernetes (both on-prem and cloud) alongside a solid understanding of system-level performance tuning (networking, storage, and operating system limits). - Influence and Collaboration: Exceptional communication and system-design skills, with a proven ability to translate complex technical trade-offs for diverse stakeholders, align multiple engineering teams around a unified technical vision, and mentor and upskill engineers to elevate domain-wide technical execution. ## Nice to Have - Agentic & LLM Integration: Experience building or utilizing open standards like Model Context Protocol (MCP) to safely expose platform data (metrics, logs, traces) to external AI agents and SRE assistants. - Intelligent Diagnostics: Experience designing or integrating automated anomaly detection, conversational AI querying interfaces (e.g., LLM co-pilots), or continuous profiling platforms. - Governance at Scale: Familiarity with implementing automated multi-tenant isolation, capacity management, and cost-attribution frameworks for large-scale enterprise developer platforms. ## Skills ### Required - Distributed Systems - Storage Expertise - AI-Ready Telemetry Design - Telemetry Standardization - Software Engineering - Kubernetes - Infrastructure Fluency - Influence and Collaboration ### Nice to have - Agentic & LLM Integration - Intelligent Diagnostics - Governance at Scale --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/adyen/jobs/7989158?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)