4 hours ago
Boston, MA, USA or New York, NY, USAIntern
H1B Sponsor
Base Salary
$100k - $110k/yr
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.
- Help 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 through hands-on work with 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 possessing equivalent practical experience.
- Targeting a 2028 full-time start date.
- Strong fundamentals in data structures, algorithms, and software design.
- Comfortable coding in one or more programming languages.
- Experience with AI coding tools or strong interest in learning to use them effectively.
- Available to work full-time from the Datadog New York or Boston office during the internship dates.
- Some positions may require eligibility for applicable U.S. government authorizations under export control regulations.
- Resume or CV must be submitted in English.
Benefits
- Hybrid workplace with required full-time work from the Datadog New York or Boston office during the internship.
- Internship runs from January 4 through April 23, 2027.
- Mentorship and buddy programs, engineering talks, social events, and community engagement opportunities.
- Relocation support and travel benefits where applicable.
- Office snacks, drinks, and catered lunches on Monday, Wednesday, and Friday.
- Healthcare, paid time off, and travel- and relocation-related benefits, subject to employment terms.
Tech Stack
DatadogKubernetes
About Datadog
Datadog is the essential monitoring platform for cloud applications. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.