Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability.

*At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.*
What You’ll Do:
- Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments
- Write in Go, Java, Rust or C++, amongst other languages
- Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components
- Own meaningful parts of our service, have an impact, grow with the company

Who You Are:
- You have a BS/MS/PhD in a scientific field or equivalent experience




- You have significant backend programming experience in one or more languages (Go, Java, Rust, C++)
- You have been exposed to working on problems (high durability / low latency /…)
- You can get down to the low-level when needed
- You care about simple designs and performance
- You want to work in a fast, high-growth startup environment that respects its engineers and customers
- You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
- Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

*Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay.

📌 Senior Software Engineer (Madrid)
🏢 Datadog
📍 Madrid