20 hours ago
Madrid, SpainIntern
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 technical projects from design through deployment with guidance from experienced engineers and mentors.
- Collaborate with interns, mentors, and engineers while developing software for customers at global scale.
Requirements
- Expected to graduate in 2027 with a degree in Computer Science, Software Engineering, or a related technical field from a university in Spain.
- Strong computer science fundamentals, including data structures, algorithms, and software design.
- Comfortable coding in one or more programming languages.
- Experience with AI coding tools or a strong interest in learning to use them effectively.
- Available for a full-time or part-time internship beginning in February 2027.
Benefits
- Hybrid workplace with office-based collaboration and flexibility for work-life harmony.
- Mentorship and buddy programs supporting learning and development.
- In-person intern cohort with engineering talks, social events, and community engagement opportunities.
- Relocation support and travel benefits where applicable.
- Office perks including 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.