5 months ago
Lisbon, PortugalSenior
Responsibilities
- Build a query engine that supports efficient relationship traversals for demanding workloads.
- Design and drive high-priority, high-visibility projects that increase platform value, resilience, and scalability across teams.
- Lead and guide engineers through architectural platform decisions.
- Identify system risks and reliability trends and design solutions to address them.
- Help prioritize engineering-led initiatives in short- and long-term planning and roadmaps.
- Collaborate with internal product teams on requirements and growth planning as they integrate with and depend on REDAPL.
Requirements
- BS, MS, or PhD in Computer Science, Engineering, or a related scientific field, or equivalent experience.
- Extensive experience working with multiple types of data stores.
- Several years contributing to platform- or infrastructure-focused initiatives.
- Experience leading impactful technical initiatives focused on performance, cost efficiency, ease of use, and resilience or operability.
- Significant backend engineering experience building and operating distributed systems at high scale.
- Bonus: experience with graph databases such as Neo4j, Memgraph, JanusGraph, ArangoDB, Amazon Neptune, or PuppyGraph.
- Bonus: production-grade Apache Iceberg experience.
- Bonus: strong query-planning knowledge or contributions to production-grade query engines or related projects such as Trino, Calcite, Substrait, or DataFusion, ideally demonstrated through open-source contributions or PMC membership.
Benefits
- Hybrid workplace arrangement
- Tools and development environment designed to accelerate software engineering
- Influence on product direction and business impact
- Competitive global benefits
- Continuous professional development
Tech Stack
Neo4j
Categories
BackendData Engineering
About Datadog
Datadog builds a SaaS observability and security platform that monitors infrastructure, applications, logs, and services for engineering and DevOps teams. Its products include infrastructure monitoring, APM, log management, real user monitoring, and cloud security, sold via subscriptions and used across cloud-native and hybrid environments. Founded in 2010 and headquartered in New York City, Datadog is a public company trading on NASDAQ under the ticker DDOG.