Software Engineer - Distributed Storage

Datadog is seeking software engineers for their Event Platform Storage team to work on Husky, their distributed, time-series oriented columnar store. The role involves scaling critical infrastructure that processes trillions of data points daily for 20,000+ customers. Engineers will work on a platform that ingests data at ~15 million messages/second, using technologies like Java, Go, and Rust.

The position offers a unique opportunity to contribute to one of Datadog's most critical and profitable platforms. The Husky storage engine provides scalable, exactly-once, cost-effective storage for timestamped data with advanced query capabilities. The role involves working with cutting-edge distributed systems technology, optimizing for durability, high availability, and low latency at internet scale.

The team operates in a fast-paced startup environment while maintaining enterprise-grade reliability. Engineers will collaborate on building fault-tolerant, horizontally scalable solutions using modern technologies like Kafka, Redis, and Cassandra. The role requires strong backend programming skills and experience with distributed systems.

This is an excellent opportunity for engineers passionate about large-scale distributed systems, with competitive compensation including both salary and equity. Datadog offers comprehensive benefits including healthcare, dental, mental health coverage, 401(k) matching, and various other perks. The company maintains a strong engineering culture that values technical excellence, innovation, and professional growth.