Senior Graph Engine Engineer - REDAPL (Remote/Madrid)

JobFluent

United States

On-site

USD 78,000 - 123,000

Full time

4 days ago
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Job summary

Datadog is seeking a Senior Software Engineer to advance the REDAPL Graph Engine, our scalable platform for relationship traversal and data processing. This role can be based in Madrid or remote, with a hybrid work style.

You will lead architectural decisions, optimize performance and scalability, and collaborate with product teams to drive platform growth across multiple teams and data stores. You will contribute to open-source-like initiatives and share knowledge across the organization.

Qualifications

  • BS/MS/PhD in CS or related field or equivalent experience.
  • Extensive experience with multiple data stores and distributed systems.
  • Led platform or infrastructure initiatives with focus on performance and resilience.
  • Production-grade experience with query engines or planning (e.g. Trino, Calcite, DataFusion).

Responsibilities

  • Build a query engine for efficient relationship traversals.
  • Lead high-priority projects to improve platform value, resilience, and scalability.
  • Guide engineers through architectural decisions.
  • Identify potential system risks and design reliability improvements.
  • Collaborate with internal product teams to plan growth and integration.

Skills

Distributed systems
Back-end engineering
Performance optimization
Leadership
Graph databases
Query planning/engines

Education

BS/MS/PhD in Computer Science

Tools

Neo4j
Memgraph
JanusGraph
ArangoDB
Amazon Neptune
PuppyGraph

Job description

Datadog is seeking a Senior Software Engineer to advance the REDAPL Graph Engine, our scalable platform for relationship traversal and data processing. This role can be based in Madrid or remote, with a hybrid work style.

You will lead architectural decisions, optimize performance and scalability, and collaborate with product teams to drive platform growth across multiple teams and data stores. You will contribute to open-source-like initiatives and share knowledge across the organization.

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