xAI is looking to build and maintain its observability platform to enable engineers to monitor, debug, and optimize the performance and reliability of their systems, handling telemetry at massive scale.
Requirements
- 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.
- Practical coding assessment in a language of your choice.
Responsibilities
- 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.
Other
- All employees are expected to be hands-on and to contribute directly to the company’s mission.
- Leadership is given to those who show initiative and consistently deliver excellence.
- Work ethic and strong prioritization skills are important.
- All engineers and researchers are expected to have strong communication skills.
- Candidates who join in San Francisco must make it to Palo Alto at least twice a week.
