20 hours ago
Paris, FranceIntern
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 guidance from experienced engineers and mentors.
- Collaborate with interns, mentors, and engineers to build software with global customer impact.
Requirements
- Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or having equivalent practical experience.
- Targeting a 2027 full-time start date.
- Strong computer science fundamentals, including data structures, algorithms, and software design.
- Comfort coding in one or more programming languages.
- Experience with AI coding tools or strong interest in learning to use them effectively.
- Availability for a six-month internship beginning in February, March, April, May, or June 2027.
Benefits
- Hybrid workplace with office collaboration and culture opportunities.
- Mentorship and buddy programs.
- In-person intern cohort, company social events, Community Guilds, and employee resource groups.
- Relocation support and travel benefits where applicable.
- Office snacks, drinks, and catered lunches on Monday, Wednesday, and Friday.
Tech Stack
DatadogKubernetes
About Datadog
Datadog builds a SaaS observability and security platform that monitors infrastructure, applications, logs, and services for engineering and DevOps teams. Its products include infrastructure monitoring, APM, log management, real user monitoring, and cloud security, sold via subscriptions and used across cloud-native and hybrid environments. Founded in 2010 and headquartered in New York City, Datadog is a public company trading on NASDAQ under the ticker DDOG.