Senior Software Engineer - REDAPL Graph Engine

Datadog

Italia

In loco

EUR 90.000 - 130.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

Datadog is seeking a Senior Software Engineer to advance REDAPL, our Referential Data Platform, a core component for tracking customer infrastructure and relationships. You’ll build a scalable query engine and guide architectural decisions across teams.

You will lead backend initiatives focused on performance, cost efficiency, and resilience, working with data stores and graph databases to support growth and product integration.

Competenze

  • BS/MS/PhD in Computer Science, Engineering or related field or equivalent experience.

Mansioni

  • Build a query engine for efficient relationship traversals.
  • Drive high-priority platform projects to increase value, resilience, and scalability.
  • Lead engineers through architectural platform decisions.
  • Identify risks and design solutions for reliability improvements.
  • Contribute to planning and roadmaps for engineering initiatives.
  • Collaborate with product teams to align on requirements and growth.

Conoscenze

Backend engineering
Distributed systems
Performance optimization
Platform experience
Architecture leadership

Formazione

BS/MS/PhD in CS or related field

Strumenti

Neo4j
Memgraph
JanusGraph
ArangoDB
Amazon Neptune
Apache Iceberg
Trino
Calcite
DataFusion

Descrizione del lavoro

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 as Cloud Security Posture Management, Resource Catalog, Cloud Cost Management, and Service Catalog and others - REDAPL ingests more than 4.5 million updates per second.

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 engine or related projects (e.g. Trino, Calcite, Substrait, DataFusion, etc.) ideally demonstrated through open‑source contributions or PMC membership on projects.
Benefits and Growth:
  • Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.
  • Have a lot of influence on product direction and impact on the business.
  • Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn.
  • Competitive global benefits.
  • Continuous professional development.

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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