Senior Software Engineer - REDAPL Graph Engine

ppWe 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. /p pMany 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. /p h3What You’ll Do: /h3 ul liBuild a query engine that supports efficient relationship traversals for our most demanding workloads. /li liContribute to design and drive high‑priority, high‑visibility projects to increase the platform’s value, resilience, and scalability across multiple teams. /li liLead and guide other engineers through architectural platform decisions. /li liIdentify potential system risks and trends in reliability and design solutions to address them. /li liProvide input on prioritizing engineering‑led initiatives in short‑ and long‑term planning and roadmaps. /li liCollaborate with internal product teams to understand their requirements and how we plan for their product growth as they integrate and depend on REDAPL. /li /ul h3Who You Are: /h3 ul liYou have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience. /li liYou have worked extensively with multiple types of data stores. /li liYou have contributed to initiatives in a platform or infrastructure‑focused environment for several years. /li liYou have led impactful technical initiatives in an environment where performance, cost efficiency, ease of use, and resilience/operability are first‑order concerns. /li liYou have significant back‑end engineering experience and have built, and operated distributed systems to solve problems at a high scale. /li /ul h3Bonus points: /h3 ul liYou have experience working with Graph Databases such as Neo4j, Memgraph, JanusGraph, ArangoDB, Amazon Neptune or PuppyGraph. /li liYou have production‑grade experience with Apache Iceberg. /li liYou 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. /li /ul h3Benefits and Growth: /h3 ul liGet to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. /li liHave a lot of influence on product direction and impact on the business. /li liWork with skilled, knowledgeable, and kind teammates who are happy to teach and learn. /li liCompetitive global benefits. /li liContinuous professional development. /li /ul pBenefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. /p h3Equal Opportunity at Datadog: /h3 pDatadog 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. /p pDatadog 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. /p h3Privacy and AI Guidelines: /h3 pAny 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. /p /p #J-18808-Ljbffr