We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact to customers at global scale. 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

• Contribute to production systems that process and analyze large-scale observability and application data in real time
• Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services
• Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base
• Own and deliver technical projects from design through deployment with support from experienced engineers and mentors
• Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure
• Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale

Who You Are

• Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience
• Targeting a 2028 full-time start date
• Demonstrate strong computer science fundamentals, including data structures, algorithms, and software design