Senior Software Engineer - REDAPL Graph Engine | Datadog Careers

Datadog

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Posted
14 days ago
Nearby
99+ roles within 25 mi

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Similar $187k
$128k most similar roles pay here $246k

This listing doesn't post a salary. Most similar roles pay $156,762–$217,725.

Based on 240 similar postings.

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About Datadog

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

Datadog currently has 114 open roles on FindRole.

Listed pay typically runs $187,000–$240,000 across 56 roles with salary data.

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TL;DR · Senior Software Engineer - REDAPL Graph Engine | Datadog Careers

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Join us as a Senior Software Engineer to drive REDAPL, Datadog’s critical Referential Data Platform, which tracks customer infrastructure resources and relationships. You will lead high-priority projects, enhance data ingestion, processing, and query pipelines, and build a robust query engine for efficient relationship traversals. Collaborate with internal teams to ensure the platform scales and remains resilient as it supports products like Cloud Security Posture Management and Resource Catalog. Ideal candidates have extensive experience in distributed systems, back-end engineering, and multiple types of data stores, along with leadership in performance-driven environments. Bonus points for expertise in graph databases, Apache Iceberg, and query engine development.

Skills

GraphDatabases ApacheIceberg QueryEngines Trino Calcite Substrait DataFusion DistributedSystems BackEndEngineering CloudServices CI/CD Kubernetes Terraform Python Java Go SQL NoSQL PostgreSQL Redis AWS GCP Azure DevOps Scalability PerformanceOptimization ReliabilityEngineering

What you'll do

  • Build a query engine for efficient relationship traversals in demanding workloads.
  • Drive high-priority projects to enhance platform value, resilience, and scalability.
  • Lead architectural decisions and guide other engineers through complex platforms.
  • Identify system risks and design solutions to improve reliability and performance.
  • Provide input on prioritizing engineering initiatives for short- and long-term planning.

What we're looking for

  • Extensive experience with multiple types of data stores.
  • Led technical initiatives focusing on performance, cost efficiency, ease of use, and resilience.
  • Significant back-end engineering experience in building and operating distributed systems at scale.
  • Contributed to design and implementation of high-priority projects increasing platform value and scalability.
  • BS/MS/PhD in Computer Science, Engineering or related field, or equivalent practical experience.
  • Experience working with graph databases (Neo4j, Memgraph, JanusGraph, ArangoDB, Amazon Neptune).
  • Production-grade experience with Apache Iceberg and query planning.

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