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A tech company specializing in AI testing is looking for an Observability Engineer to design complex queries and optimize telemetry datasets. This role requires 3+ years of experience in production or observability engineering, with strong skills in SQL and tools like Clickhouse and Grafana. The flexibility of remote work and competitive pay ranging from $50 to $85 per hour makes it an attractive position for candidates passionate about system reliability and AI debugging.
The Observability Engineer / Production Engineer will design and optimize complex queries over large telemetry datasets to support AI‑driven incident investigation and system reliability. This role involves creating synthetic datasets simulating cloud infrastructure logs and working extensively with tools like Clickhouse and Grafana. Candidates should have 3+ years of experience in observability or production engineering with strong SQL and query optimization skills.
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, and traces, building tasks and datasets that can teach AI to investigate incidents, analyze performance, and improve system reliability.
Pay: $50 – 85/hr depending on experience. Remote, flexible hours. Project timeline: 5–6 weeks.
Observability Engineer, Production Engineer, Clickhouse, Grafana, SQL optimization, Distributed systems, Telemetry data, Cloud infrastructure logs, AI debugging, System reliability.