Judgmentlabs

Senior Backend Engineer

Judgmentlabs
US San Francisco
Onsite 2026-06-21
Typical pay for this role in San Francisco
$119K - $214K
Low
$119K
Median
$166K
High
$214K
Official salary benchmark · BLS OEWS 2025

Job description

THE ROLE We're looking for a Senior Backend Engineer to own the services and APIs that power the data layer. You'll design the systems that ingest, evaluate, and serve agent telemetry at scale. WHAT YOU'LL DO - Design and build high-throughput backend services that ingest and process hundreds of thousands of agent traces per second. - Own the API surface our SDKs and dashboards depend on: define contracts, manage versioning, and keep latency low under real customer load. - Tune our OLAP layer (ClickHouse) through schema design, query optimization, and access-pattern analysis so reads stay fast as data grows to petabyte scale. - Partner with the platform and infra teams on scalability, reliability, and the systems that back our evaluation and monitoring pipelines. - Advocate for a high bar on backend and engineering quality: reliable, efficient, well-documented, testable, and maintainable. WHAT WE'RE LOOKING FOR - 6+ years of relevant industry experience building and operating high-throughput backend systems and services. - Strong fundamentals in API design, data modeling, and the trade-offs of distributed systems under real production load. - Hands-on experience with OLAP / columnar databases (ClickHouse, Presto) and a feel for how query patterns map to storage internals. - Experience designing high-performance distributed systems. - Comfort across the stack, with the breadth to reason about platform and infra decisions. - Strong communication skills. You write clearly, review well, and make the people around you better. NICE TO HAVE - Experience scaling pipelines that fan out to LLM APIs and managing the rate-limit, retry, and cost dynamics that come with them. - Familiarity with streaming systems (Kafka, Spark, Flink, Ray) and ML orchestration tools (Airflow, Dagster, Prefect). - Background in embedding / vector search infrastructure or data quality monitoring. - Prior work on observability or developer-facing platform products.

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