Senior Software Engineer - REDAPL Graph Engine

Datadog

France

Sur place

EUR 60 000 - 90 000

Plein temps

14 jours+

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Résumé du poste

Datadog is seeking a Senior Software Engineer to enhance the REDAPL platform, focused on tracking infrastructure resources. You will build query engines and lead high-visibility projects, collaborating with product teams to ensure scalability and resilience.

Ideal candidates will have a strong background in back-end engineering and significant experience with distributed systems. Office culture values collaboration, operating in a hybrid work environment.

Qualifications

  • Experience in a platform or infrastructure-focused environment for several years.
  • Extensive work with multiple types of data stores.
  • Significant experience in leading technical initiatives.

Responsabilités

  • Build a query engine for efficient relationship traversals.
  • Drive high-priority projects to increase platform resilience.
  • Guide other engineers through architectural decisions.

Connaissances

Back-end engineering
Distributed systems
Data store management
Technical initiative leadership
Cost efficiency

Formation

BS/MS/PhD in Computer Science, Engineering or related field

Outils

Graph Databases
Apache Iceberg

Description du poste

We are looking for a Senior Software Engineer to help us take REDAPL, our Referential Data Platform, to the next level. REDAPL is Datadog's main platform for tracking our customers' infrastructure resources and relationships. The platform enables products where customers can understand, keep track of, and gain insights into their infrastructure related to performance, cost, security, and more.

Many Datadog products use REDAPL today such Cloud Security Posture Management, Resource Catalog, Cloud Cost Management, and Service Catalog and others - REDAPL ingests more than 4.5mil updates/second.

As a Senior Engineer, you will drive, lead and collaborate on projects both inside and outside the platform. You can expect to contribute to key technical decisions relating to our data ingestion, processing, and query pipelines.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do
  • Build a query engine that supports efficient relationship traversals for our most demanding workloads.
  • Contribute to design and drive high-priority, high-visibility projects to increase the platform's value, resilience, and scalability across multiple teams.
  • Lead and guide other engineers through architectural platform decisions
  • Identify potential system risks and trends in reliability and design solutions to address them
  • Provide input on prioritizing engineering-led initiatives in short- and long-term planning and roadmaps
  • Collaborate with internal product teams to understand their requirements and how we plan for their product growth as they integrate and depend on REDAPL
Who You Are
  • You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience
  • You have worked extensively with multiple types of data stores.
  • You have contributed to initiatives in a platform or infrastructure-focused environment for several years
  • You have led impactful technical initiatives in an environment where performance, cost efficiency, ease of use, and resilience/operability are first-order concerns
  • You have significant back-end engineering experience and have built, and operated distributed systems to solve problems at a high scale
Bonus points
  • You have experience working with Graph Databases such as Neo4j, Memgraph, JanusGraph, ArangoDB, Amazon Neptune or PuppyGraph.
  • You have production-grade experience with Apache Iceberg
  • You have a solid grasp of query planning or better yet - contributed to a production-grade query engines or related projects (e.g. Trino, Calcite, Substrait, DataFusion, etc) ideally demonstrated through open-source contributions or PMC membership on projects.
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