Top Engineering Jobs

Lead the design and delivery of next-generation frontend technology at Datadog. Responsibilities include coaching engineers, leading major product and website redesigns, owning core customer experiences, coordinating cross-team technical initiatives, and developing high-complexity, high-performance interactive browser applications. The role requires strong UI/UX judgment, experimentation expertise, architectural leadership, and deep React experience.

Software Engineering Interns will contribute to Datadog’s production systems across backend, frontend, infrastructure, data engineering, and developer tooling. Responsibilities include building distributed systems, processing large-scale observability data, improving performance and reliability, delivering technical projects from design through deployment, and collaborating with mentors. Candidates should be pursuing a relevant technical degree, possess strong computer science fundamentals, know at least one programming language, and be available for a six-month internship beginning in early to mid-2027.

Software Engineering Interns contribute to Datadog’s observability and security platform by building and improving backend, frontend, infrastructure, data engineering, and developer tooling systems. Responsibilities include developing distributed and cloud-native services, addressing performance and scalability challenges, delivering technical projects from design through deployment, and collaborating with experienced engineers and mentors.

Software Engineering Interns build and scale Datadog’s observability and security platform. Responsibilities include developing backend, frontend, infrastructure, data engineering, and developer tooling systems; addressing performance, reliability, and scalability challenges; and delivering technical projects from design through deployment with mentorship. Interns work with distributed systems, Kubernetes, cloud-native services, and real-time processing of large-scale metrics, logs, and application data.

Design, implement, and operate fault-tolerant distributed systems and foundational platforms at internet scale. Build horizontally scalable, multi-tenant services that ingest, store, analyze, and query billions of events per second. Develop backend systems using Go, Java, Rust, or C++, alongside Kafka, Redis, Cassandra, Elasticsearch, and other open-source technologies. Own production services, optimize durability, availability, latency, performance, and operability, and use AI coding tools effectively.

Lead design and delivery of Datadog implementations: gather requirements, build technical architecture, write deployment automation, manage implementation projects, and guide customer onboarding and launches.

Lead a hands-on engineering team building and operating platform services that access and synchronize customer repositories. Drive technical strategy, stakeholder relationships, roadmap prioritization, and delivery processes. Roll up sleeves to write code, troubleshoot, and unblock engineers while ensuring platform reliability, scalability, and integration with product teams.

Lead and scale Datadog's Forward Deployed Engineering program: define operating model, build FDE offerings, hire and develop engineers, capture field product feedback, run lightweight engineering sprints to create reusable assets, and partner with Sales/SE/Customer Success to drive customer deployments and measure impact on adoption and ARR.

Lead engineering for one or more Digital Experience Monitoring product areas, manage 50–60 engineers via Engineering Managers, shape product roadmap, drive AI adoption across tooling and features, coordinate cross-team dependencies, build and retain Paris engineering talent, mentor managers, and participate in on-call rotation.

As an Engineering Manager, lead software engineering teams, focusing on career development, technical leadership, and optimizing a petabyte-scale database. Collaborate with product teams and ensure operational excellence.