Software Engineer - Distributed Storage

Datadog is seeking software engineers to join their Event Platform Storage team, focusing on their distributed storage system called Husky. This role is critical in handling massive-scale data processing, ingesting trillions of data points daily for over 20,000 customers. The position involves working on a distributed, time-series oriented, columnar store optimized for streaming ingestion and hybrid analytical queries.

The role offers a unique opportunity to work on one of Datadog's most critical platforms, contributing to a system that processes approximately 15 million messages per second. Engineers will work with cutting-edge technologies including Java, Go, and Rust, focusing on building reliable, scalable solutions for data storage and retrieval.

The ideal candidate will join a team that has built Husky, a sophisticated storage system that decouples storage and compute, enabling efficient storage and querying of massive volumes of logs at optimized costs. This position requires expertise in distributed systems, with a focus on durability, high availability, and low latency at internet scale.

Working at Datadog means joining a global SaaS business that combines growth with profitability, focusing on breaking down silos and solving complexity in the cloud age. The company offers competitive compensation, comprehensive benefits, and a collaborative, engineering-focused culture that champions professional development and innovation.

This is an excellent opportunity for engineers passionate about distributed systems, performance optimization, and working with large-scale data processing challenges. The role offers significant technical challenges, ownership opportunities, and the chance to impact a rapidly growing platform used by thousands of customers worldwide.