Software Engineer - Distributed Storage

Datadog is seeking a Software Engineer to join their Event Platform Storage team, focusing on distributed storage systems. The role involves working on Husky, a distributed, time-series oriented, columnar store optimized for streaming ingestion and hybrid analytical and search queries. This platform processes trillions of data points daily, serving over 20,000 customers with real-time observability capabilities.

The position offers a unique opportunity to work on critical infrastructure handling ~15 million messages/second, using technologies like Java, Go, and Rust. The Storage team's Husky technology enables cost-effective storage and querying of massive log volumes through decoupled storage and compute architecture.

As a member of the team, you'll contribute to scaling these components and adding new features that drive business growth. The role requires expertise in distributed systems optimization for durability, high availability, and low latency at internet scale. You'll work with modern technologies including Kafka, Redis, Cassandra, and Elasticsearch.

The company offers a comprehensive benefits package including healthcare, dental, mental health benefits, 401(k) with match, equity opportunities, and paid time off. This remote position provides flexibility while working with a global team dedicated to solving complex technical challenges. Datadog's culture emphasizes professional development, diversity of thought, and innovation, making it an ideal environment for engineers who want to make a significant impact while growing their careers.

The role combines technical depth with business impact, as you'll be working on systems that directly affect Datadog's core services and customer experience. If you're passionate about distributed systems, performance optimization, and building reliable, scalable solutions, this position offers an excellent opportunity to work with cutting-edge technology at a rapidly growing company.