The Observability team builds and operates the core infrastructure that enables engineers to monitor, debug, and optimize the performance and reliability of their systems. We handle telemetry at massive scale — billions of time series and petabytes of logs — with strict performance and availability requirements.
Design and implement scalable observability infrastructure for metrics, logging, and tracing.
Build high-performance telemetry pipelines that handle massive ingestion volumes.
Develop APIs, query engines, and UIs that allow engineers to get real-time insights into their services.
Define and enforce best practices for instrumentation, alerting, and reliability across the company.
Partner with infrastructure and product teams to deeply integrate observability into our internal platforms.
Own the reliability, scalability, and performance of the observability stack end-to-end.
Qualification
Production-level proficiency in GoExperience with Kafka
Required
Production-level proficiency in Go, Rust, Scala, or a similar languages
Deep understanding of distributed systems and telemetry architecture.
Experience building and operating infrastructure at scale.
Familiarity with observability stacks such as Prometheus, Grafana, OpenTelemetry, VictoriaMetrics, or ClickHouse.
Experience with Kafka, Redis, or large-scale time series databases.
Experience operating observability pipelines in Kubernetes or similar orchestration environments.
