Чётко очерченная роль в быстрорастущей компании по разработке баз данных даёт возможность работать с крупной AI-инфраструктурой, но без указанной зарплаты сложнее оценить общее предложение.
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Зарплата не указанаСовременный стекAI-инфраструктураПонятные задачиСильная продуктовая средаХорошие условия
Оценка от Hirify AI
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Hirify AI/Оригинал
TL;DR
Backend Engineer (ClickHouse): Building and scaling Langfuse infrastructure for high-volume AI tracing data with an accent on ingestion pipelines, ClickHouse data models, query performance, and deployment. Focus on optimizing analytical workloads, validating schema and query changes against production data, and designing infrastructure for 10x scale.
Location: Remote within the United States; listed locations are New York, Atlanta, Boston, Charlotte, and Washington D.C.
Company
ClickHouse is a rapidly scaling startup building open-source database and data infrastructure products; Langfuse is now part of ClickHouse.
What you will do
Own and optimize the Langfuse ingestion pipeline for massive volumes of AI tracing data.
Design ClickHouse schemas, optimize merge strategies and batch inserts, and write and review analytical queries.
Build infrastructure-heavy features such as asynchronous LLM-as-a-Judge processing, large-scale alerting, client-code execution, and batch dataset operations.
Run load tests against production data and compare schema, migration, and query changes before deployment.
Operate Langfuse Cloud across production environments and improve self-hosting from Docker Compose to enterprise-grade Helm deployments.
Plan infrastructure for complex long-running agent observability and real-time evaluation at 10x scale.
Requirements
Strong backend engineering experience with database internals, query optimization, and distributed systems.
Experience with analytical databases, data pipelines, or high-throughput event processing.
Comfortable reading and writing TypeScript and SQL.
Ability to organize work independently and make strong decisions about what to build and how to ship it.
Interest in open-source software and enjoyment of discussing scaling challenges with users.
Computer science or quantitative degree preferred.
Nice to have
Experience with ClickHouse, other OLAP databases, or observability infrastructure.
Experience building data-intensive systems at scale.
Former founder experience.
Culture & Benefits
Remote-friendly work environment at a globally distributed company operating in more than 25 countries.
Employer contributions toward healthcare.
Stock options for new team members.
Flexible time off in the US and generous entitlement in other countries.
USD $500 home-office setup allowance for remote employees.
Opportunities to attend company-wide offsites and global gatherings.
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