Staff Software Engineer - Observability

ppbThis is Adyen /b /ppAdyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, HM, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. /ppFor 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. /ppbStaff Software Engineer - Platform Observability /b /ppAdyen 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. /ppAs 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. /ppbWhat you will do: /b /ppAs 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. /ppThis includes: /pulliDefine and lead Logging, Metrics, Tracing Alerting strategies /liliSolve scaling bottlenecks in critical services in our telemetry data pipelines /liliCreate advanced tooling to accelerate root-cause analysis, reduce Mean Time to Resolution (MTTR), and eliminate alert fatigue /liliGuide and mentor software engineering and SRE teams on monitoring best practices and instrumenting code. /liliIdentify and tackle bottlenecks and single points of failures in the architecture aiming to improve the reliability of the observability platform and the overall user experience. /liliDriving features and products idealization, implementation and adoption. /liliCollaborate on planning and refinement proactively providing input whilst striving for engineering alignment, quality and reducing complexity and dependencies. /liliRespond to alerts and duty responsibilities, like providing support to other engineers and troubleshooting production issues /li /ulpbWhat you bring: /b /pulliYou have 5+ years of relevant work experience with highly distributed systems /liliExpertise in designing and implementing APIs and data pipelines for high-throughput, real-time data ingestion /liliExperience improving software reliability between different categories including availability, performance, latency, efficiency, capacity, SLOs and incident management. /liliProficiency developing and maintaining software and frameworks written in Go and/or Java /liliAdvanced understanding of system design and evaluating its tradeoffs /liliStrong stakeholder management, technical communication, and mentorship capability. /liliHighly motivated to learn and continuously develop yourself /liliExperience with containerisation and orchestration technologies (Docker, Kubernetes) and infrastructure as code tools(e.g: Terraform) /lilibObservability Stack Expertise /b: You have hands-on experience operating core telemetry data stores at scale e.g. Elasticsearch/Opensearch/VictoriaLogs/Clickhouse for logging, Prometheus/ VictoriaMetrics for metrics and Grafana Tempo for distributed tracing, Grafana LGTM stack, OpenTelemetry, Alertmanager, Clickhouse /li /ulpbNice to haves: /b /pulliExperience with highly available/fault tolerant, replicated data storage systems, large scale data processing systems is a strong plus /liliInfrastructure and Platform Experience /liliContributions to open-source observabi /li /ul /p #J-18808-Ljbffr