judgmentlabs
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Senior Backend Engineer

United StatesUnited States·San Franciscofull-timesenior
OtherSenior Backend Engineer
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Quick Summary

Key Responsibilities

define contracts, manage versioning, and keep latency low under real customer load. Tune our OLAP layer (ClickHouse) through schema design, query optimization,

Technical Tools
OtherSenior Backend Engineer

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.

Responsibilities

~1 min read
  • 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.

  • 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

~1 min read
  • 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.

Location & Eligibility

Where is the job
San Francisco, United States
On-site at the office
Who can apply
US

Listing Details

Posted
June 15, 2026
First seen
June 23, 2026
Last seen
June 23, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
27%
Scored at
June 23, 2026

Signal breakdown

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judgmentlabsSenior Backend Engineer