USD per year
Senior Software Engineer - Distributed Systems
Boston, Massachusetts, USA; New York, New York, USA 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:
- 6+ years of experience
- 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 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.
This job is available in various departments within our company; to conform to US export control regulations,...
Datadog is the essential monitoring platform for cloud applications. It brings together data from servers, containers, databases, and third-party services to make the stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers get the best user experience.
View Company Profile