Senior Software Engineer – REDAPL Graph Engine

Datadog - UK, Spain, Germany, France, Italy, Switzerland - original posting ->
Status
Open
Remote policy
Not stated
Employment type
Full-time
Salary
Not stated
Categories
Software Engineering
Tech
softwaresenior
Source
jobicy-dev
First observed
2026-08-11 23:49 UTC
Last seen
2026-09-07 11:32 UTC
Source claims posted
2026-09-07 07:15 UTC
Consecutive misses
0 of 10

What the posting says

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.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

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.

#LI-Remote

About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

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.

Quality

Completeness: 45%
Honesty: 80%

Based on 26 observation(s).

Timeline

  1. *
    #777 2026-08-11 23:49 UTC
    Published
  2. o
    #63253 2026-08-14 11:55 UTC
    Not seen
    Miss 1 in a row
  3. o
    #63730 2026-08-14 12:55 UTC
    Not seen
    Miss 2 in a row
  4. o
    #64748 2026-08-14 13:55 UTC
    Not seen
    Miss 3 in a row
  5. o
    #64799 2026-08-14 14:55 UTC
    Not seen
    Miss 4 in a row
  6. o
    #66498 2026-08-14 15:55 UTC
    Not seen
    Miss 5 in a row
  7. o
    #66963 2026-08-14 16:55 UTC
    Not seen
    Miss 6 in a row
  8. o
    #68676 2026-08-14 17:55 UTC
    Not seen
    Miss 7 in a row
  9. o
    #68714 2026-08-14 18:55 UTC
    Not seen
    Miss 8 in a row
  10. o
    #70668 2026-08-14 19:56 UTC
    Not seen
    Miss 9 in a row
  11. o
    #71213 2026-08-14 20:56 UTC
    Not seen
    Miss 10 in a row
  12. x
    #71214 2026-08-14 20:56 UTC
    Closed
  13. ^
    #148119 2026-08-18 10:48 UTC
    Reopened
  14. o
    #170765 2026-08-19 07:02 UTC
    Not seen
    Miss 1 in a row
  15. o
    #171681 2026-08-19 07:51 UTC
    Not seen
    Miss 2 in a row
  16. o
    #180592 2026-08-19 08:51 UTC
    Not seen
    Miss 3 in a row
  17. o
    #181562 2026-08-19 09:52 UTC
    Not seen
    Miss 4 in a row
  18. o
    #182199 2026-08-19 10:52 UTC
    Not seen
    Miss 5 in a row
  19. o
    #183496 2026-08-19 11:52 UTC
    Not seen
    Miss 6 in a row
  20. o
    #184764 2026-08-19 12:53 UTC
    Not seen
    Miss 7 in a row
  21. o
    #185972 2026-08-19 13:53 UTC
    Not seen
    Miss 8 in a row
  22. o
    #186167 2026-08-19 14:53 UTC
    Not seen
    Miss 9 in a row
  23. o
    #187097 2026-08-19 15:10 UTC
    Not seen
    Miss 10 in a row
  24. x
    #187098 2026-08-19 15:10 UTC
    Closed
  25. ^
    #615689 2026-09-07 11:32 UTC
    Reopened
  26. ~
    #615690 2026-09-07 11:32 UTC
    Modified
    • Posted at
      2026-08-06 07:10 UTC->2026-09-07 07:15 UTC