Software Engineering Intern - Real-Time Systems & AI

Datadog, Inc.; Town of Boston, Northern (NY, KY); Hybrid; USD 100,000 - 110,000; Full time

Benefits offered by this job

Mentorship program

Buddy program

In-person intern cohort

Relocation support

Snacks and catered lunches

Job summary

Datadog, Inc. in New York or Boston is seeking Software Engineering Interns to help build and scale systems powering the observability and security platform.

You will contribute across backend, frontend, infrastructure, and data engineering while learning from experienced engineers and mentors. You will design, build, and improve real-time systems that process metrics, logs, and application data, gaining hands-on experience with Kubernetes and cloud-native infrastructure.

Qualifications

• Strong CS fundamentals including data structures, algorithms, and software design.
• Comfortable coding in one or more programming languages and open to using AI-assisted tools.
• Pursuing a degree in Computer Science, Software Engineering, or a related field or equivalent practical experience.

Responsibilities

• Contribute to production systems that process and analyze large-scale observability and application data in real time.
• Build and improve distributed backend infrastructure, developer platforms, and cloud-native services.
• Help identify and solve performance, reliability, and scalability challenges in critical services.
• Own and deliver technical projects from design through deployment with mentorship.
• Develop expertise with technologies such as Kubernetes and distributed systems.

Skills

Strong CS fundamentals

Programming experience

AI tooling awareness

Education

Pursuing CS/Software Engineering degree

Tools

Kubernetes

Distributed systems

Cloud-native infrastructure

AI coding tools

Job description

Datadog, Inc. in New York or Boston is seeking Software Engineering Interns to help build and scale systems powering the observability and security platform.

You will contribute across backend, frontend, infrastructure, and data engineering while learning from experienced engineers and mentors. You will design, build, and improve real-time systems that process metrics, logs, and application data, gaining hands-on experience with Kubernetes and cloud-native infrastructure.