Software Engineering Intern
Software Engineering Interns build and improve production systems for Datadog’s observability and security platform across backend, infrastructure, data, and developer tooling. Candidates should be pursuing a relevant technical degree, have strong computer science fundamentals, and be able to work full-time from the Boston or New York office.
About the job
Responsibilities
- 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.
- Identify and solve performance, reliability, and scalability challenges in critical services.
- Own and deliver technical projects from design through deployment with support from experienced engineers and mentors.
- Develop expertise in Kubernetes, distributed systems, and cloud-native infrastructure.
- Collaborate with interns, mentors, and engineers to build software for customers at global scale.
Requirements
- Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
- Targeting a 2028 full-time start date.
- Strong computer science fundamentals, including data structures, algorithms, and software design.
- Ability to code in one or more programming languages.
- Interest in using AI-assisted tools to enhance software development and problem solving.
- Experience with AI coding tools or strong interest in learning them.
- Available to work full-time from the Datadog New York or Boston office during the internship program dates.
Compensation and Benefits
- Annual salary of $100,000–$110,000 USD.
- Mentorship and buddy programs.
- Relocation support and travel benefits where applicable.
- In-person intern cohort, engineering talks, social events, and community engagement.
- Office perks including snacks, drinks, and catered lunches.
Skills
Kubernetes, Distributed Systems, Cloud-Native Infrastructure, Data Structures, Algorithms, Software Design, Ai Coding Tools, Backend Infrastructure, Developer Platforms, Real-Time Data Processing
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