Software Engineer - Observability

Responsibilities

• Design and build scalable telemetry ingest and storage pipelines for metrics, logs, and traces across multi-cloud infrastructure.
• Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth.
• Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services.
• Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise.
• Partner with Inference, Product, and Infrastructure teams to ensure observability solutions meet organizational needs.

Requirements

• Deep experience with at least one observability signal area: metrics, logging, tracing, or error analytics; familiarity with the others.
• Understanding of high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale.
• Experience operating or building on observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems.
• Strong proficiency in at least one of Python, Rust, or Go.
• Excellent communication skills and interest in improving operational visibility and incident response.
• Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting.
• Excitement about building foundational infrastructure and working independently on ambiguous, high-impact technical challenges.

Compensation and Benefits

• Competitive compensation, including meaningful equity.
• 100% coverage of medical, dental, and vision insurance for employees and dependents.
• Flexible PTO, including a company-wide winter break.
• Paid parental leave.
• Fertility and family-building stipend.
• Company-facilitated 401(k).