Senior Backend Engineer: Scale Massive Data Pipelines (Remote)

United States Digital Space LLC

United States

Remoto

USD 120.000 - 180.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Flexible work environment
Healthcare contributions
Stock options
Generous time off
Remote home office setup $500
Global team offsites

Descrizione del lavoro

Langfuse is seeking a backend engineer to own ingestion, data models, and scalable infrastructure. You will optimize query performance and build backend abstractions that enable product engineers to ship data-heavy features quickly.

You will work across a distributed, open source stack, ensuring Langfuse runs reliably in cloud and self-hosted environments. This role suits someone who loves big data and high-throughput systems.

Competenze

  • Strong backend engineer with a passion for database internals and performance.
  • Experience with analytical databases, data pipelines, or high-throughput processing.
  • You organize yourself and can ship impactful features.
  • Comfortable reading and writing TypeScript and SQL.

Mansioni

  • Own and optimize ingestion pipeline throughput, latency, reliability and cost.
  • Design schemas and optimize queries powering dashboards and UI.
  • Build infrastructure-heavy features and support multi-environment deployments.
  • Collaborate with cross-functional teams to ship scalable backend improvements.

Conoscenze

Backend systems
Distributed data
TypeScript
SQL
Open source

Formazione

CS or quantitative degree

Strumenti

TypeScript
SQL
Docker

Descrizione del lavoro

Langfuse is seeking a backend engineer to own ingestion, data models, and scalable infrastructure. You will optimize query performance and build backend abstractions that enable product engineers to ship data-heavy features quickly.

You will work across a distributed, open source stack, ensuring Langfuse runs reliably in cloud and self-hosted environments. This role suits someone who loves big data and high-throughput systems.

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