Description

Sepal AI builds the world's hardest tests for AI grounded in real-world software systems. We are looking for an Observability Engineer with 3+ years of experience to help us understand, debug, and operate complex production systems at scale. You will work deeply with production logs, metrics, andtraces, building tasks and datasets that can teach AI to investigate incidents, analyze performance, and improve system reliability.\n\n🧠 What You'll Do\n- Design complex, distributed queries over massive log and telemetry datasets.\n- Explore creative ways to challenge AI's reasoning ability and log analysis skills.\n- Create and manage synthetic datasets that simulate real-world DevOps, observability, or cloud infrastructure logs.\n\n✅ Who You Are\n- 3+ years of experience in observability engineer, production engineer, or platform engineer roles.\n- Deep expertise in Clickhouse and Grafana, with a focus on large-scale query optimization, schema design, and performance tuning,\n- Strong SQL skills: you know how to reason through performance problems and spot inefficient query patterns.\n\n💸 Pay\n$50 - 85/hr depending on experience\nRemote, flexible hours\nProject timeline: 5-6 weeks