> Markdown version of [/jobs/ext/4619536-software-engineer](https://www.wearedevelopers.com/jobs/ext/4619536-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # SOFTWARE ENGINEER - **Company:** Space X - **Location:** United States - **Experience:** Expert - **Salary:** $180,000 - $330,000 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Software Debugging, Distributed Systems, Redis, Prometheus, Software Engineering, Data Logging, Time Series Databases, Grafana, Kubernetes, Information Technology, Apache Kafka, Vertica - **Published:** November 7, 2026 - **Apply:** https://startup.jobs/sr-software-engineer-observability-xai-7049652 ## About the Role * Bachelor's degree in computer science, engineering, math, or technical discipline; OR 5+ years of professional software development experience in lieu of a degree * Experience with production-level Go, Rust, or Scala, * Experience with Kafka, Redis, or large-scale time series databases * Experience operating observability pipelines in Kubernetes or similar orchestration environments * 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 ## Description 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. You will be part of the small, high-impact team responsible for building and maintaining SpaceXSI's observability platform. You'll own critical systems that power metrics, logs, tracing, and alerting enabling engineering teams to operate services at scale, identify issues before they impact users, and drive systemic reliability improvements., * 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