Software Engineering Intern: Real-Time Systems & AI Tools

Datadog, Inc.; Madrid (IA); Hybrid; USD 13,000 - 18,000; Full time

Benefits offered by this job

Relocation support

Travel benefits

Mentorship program

In-person intern cohort

Snacks and catered events

Job summary

Datadog is seeking Software Engineering Interns to help build and scale the observability and security platform. You’ll contribute across backend, frontend, infrastructure, data engineering, and developer tooling while working with experienced engineers and mentors.

You’ll work on real projects starting February 2027, in a hybrid environment in Spain, with mentorship and opportunities to learn Kubernetes, distributed systems, and cloud-native infrastructure. Relocation/travel benefits may apply.

Qualifications

• CS fundamentals and software design knowledge.
• Interest in AI-assisted development and learning to use AI coding tools.
• Currently pursuing a Computer Science/Software Engineering degree in Spain, graduating in 2027.

Responsibilities

• Contribute to production systems that process and analyze large-scale observability data in real time.
• Build and improve distributed systems across backend infrastructure and cloud-native services.
• Help solve performance, reliability, and scalability challenges in critical services.
• Own and deliver technical projects from design through deployment with guidance.
• Develop expertise with Kubernetes, distributed systems, and cloud-native infrastructure.
• Collaborate with interns, mentors, and engineers to deliver impactful software.

Skills

CS fundamentals

Kubernetes

Programming languages

AI tooling

Education

Graduation in 2027 (Spain)

Tools

AI coding tools

Job description

Datadog is seeking Software Engineering Interns to help build and scale the observability and security platform. You’ll contribute across backend, frontend, infrastructure, data engineering, and developer tooling while working with experienced engineers and mentors.

You’ll work on real projects starting February 2027, in a hybrid environment in Spain, with mentorship and opportunities to learn Kubernetes, distributed systems, and cloud-native infrastructure. Relocation/travel benefits may apply.