Description
We're looking for a skilled Software Engineer to join our Observability team. As a member of this team, you will be responsible for designing and evolving logging, metrics, and tracing pipelines to handle massive data volumes. You will also evaluate and integrate new technologies to enhance Airtable's observability posture.
Your responsibilities will include guiding and mentoring a growing team of infrastructure engineers, defining and upholding coding standards, partnering with other teams to embed observability throughout the development lifecycle, and owning end-to-end reliability for observability tools.
You will also extend observability to LLM and AI features by instrumenting prompts, model calls, and RAG pipelines to capture latency, reliability, cost, and safety signals. You will design online and offline evaluation loops for LLM quality, build dashboards and alerts for token usage, error rates, and model performance, and connect these signals to tracing for prompt lineage.
To succeed in this role, you will need 6+ years of software engineering experience, with 3+ years focused on observability or infrastructure at scale. You will also need demonstrated success implementing and running production-grade logging, metrics, or tracing systems, proficiency in distributed systems concepts, data streaming pipelines, and container orchestration, and deep hands-on knowledge of tools such as Prometheus, Grafana, Datadog, OpenTelemetry, ELK Stack, Loki, or ClickHouse.
This is a high-impact role that will allow you to lead the modernization of Airtable's observability stack, influence how every engineer monitors and debugs mission-critical systems, and drive major projects across engineering organization to build platform and services for solving observability problems.