Senior Software Engineer, Observability

What you'll do

• Define and execute the full-stack observability roadmap for metrics, logs, traces, and alerting infrastructure.
• Own and evolve the observability control plane, including telemetry ingestion pipelines and cost management strategies.
• Lead a team of six engineers to build scalable, self-service observability solutions.
• Establish and maintain SLOs to ensure the observability platform meets a 99.9% uptime target.
• Partner with the Command Center to align on dependency mapping and incident response workflows.
• Build in-house solutions and integrate AI-driven approaches to accelerate full-stack observability progress.
• Architect and operate distributed systems at scale within Kubernetes and public cloud environments.

What we're looking for

• 5+ years of software engineering experience owning and delivering large-scale observability or infrastructure platform initiatives.
• Deep expertise in Kubernetes and public cloud environments (AWS preferred).
• Strong coding proficiency in Go, Python, or similar languages.
• Experience integrating observability agents, libraries, and instrumentation directly into production codebases.
• Demonstrated experience owning an observability control plane or telemetry pipeline in a high-traffic production environment.
• Experience with the Vector data pipeline (or equivalent high-throughput log/metrics routing tools) (preferred).
• Familiarity with tools such as Prometheus, Grafana, Honeycomb, Humio, or Sentry (preferred).
• Ability to work in-person at the Menlo Park, CA office at least 3 days per week.