Senior Software Engineer - REDAPL Graph Engine

Datadog

Confirmed live yesterday Trusted
Hybrid

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Hybrid
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Posted
101 days ago
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Confirmed live yesterday

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How this pay compares to similar roles

Similar $179k
$106k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $151,475–$206,450.

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 266 open roles on FindRole.

Listed pay typically runs $161,000–$205,000 across 138 roles with salary data.

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TL;DR · Senior Software Engineer - REDAPL Graph Engine

As a Senior Software Engineer - REDAPL Graph Engine, you will join the team responsible for the Referential Data Platform to enhance infrastructure resource tracking and relationship mapping. You will build a query engine supporting efficient relationship traversals for demanding workloads while leading architectural decisions regarding data ingestion, processing, and query pipelines. Your daily work involves driving high-priority projects to improve platform resilience and scalability, identifying system risks, and collaborating with internal product teams to align on growth requirements. The role requires extensive experience with multiple data stores, distributed systems at scale, and backend engineering. Preferred technical skills include experience with graph databases like Neo4j or ArangoDB, production-grade Apache Iceberg knowledge, and contributions to query engines such as Trino or Calcite. You will solve complex problems regarding performance, cost efficiency, and reliability within a high-scale data environment.

What does a Software Engineer earn?

Median $197500 from 2196 postings across 133 companies.

See salary data

What you'll do

  • Build a query engine that supports efficient relationship traversals for high-demand workloads.
  • Drive and lead high-priority projects to improve platform value, resilience, and scalability.
  • Guide other engineers through complex architectural decisions regarding the data platform.
  • Identify system risks and design solutions to improve reliability and performance.
  • Provide input on engineering initiatives for short-term and long-term product roadmaps.
  • Collaborate with internal product teams to translate their requirements into technical plans.

What we're looking for

  • Hold a BS/MS/PhD in Computer Science, Engineering, or a related scientific field (or equivalent experience).
  • Possess extensive experience working with multiple types of data stores.
  • Have several years of experience contributing to initiatives in platform or infrastructure-focused environments.
  • Experience leading technical initiatives focused on performance, cost efficiency, and system resilience.
  • Possess significant back-end engineering experience building and operating distributed systems at high scale.
  • Experience working with Graph Databases such as Neo4j, Memgraph, JanusGraph, ArangoDB, Amazon Neptune, or PuppyGraph is preferred.
  • Production-grade experience with Apache Iceberg is a plus.
  • Experience contributing to production-grade query engines or related projects like Trino, Calcite, Substrait, or DataFusion is preferred.

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