Software Engineer, Storage

Eventual is revolutionizing the data platform landscape with their innovative solution for data scientists and engineers. Their open-source distributed data engine, Daft, demonstrates impressive scale, running on 800k CPU cores daily - surpassing the world's largest supercomputer. As a Software Engineer focusing on Storage, you'll be at the forefront of designing and implementing cutting-edge storage and data catalog solutions that power their high-performance computing and machine learning infrastructure.

The role offers a unique opportunity to work with a world-class team of engineers from prestigious companies like Amazon, Databricks, Tesla, and Lyft. You'll be responsible for building scalable, resilient, and efficient data storage systems that support real-time and large-scale data workloads. The position requires expertise in systems programming, distributed storage systems, and a deep understanding of file systems and databases.

The company offers a flexible hybrid work environment based in San Francisco, with a balanced approach requiring at least 3 days of in-person work (Monday-Wednesday). They provide competitive compensation and comprehensive benefits, including health coverage and meal allowances. Eventual is well-funded by notable investors including YCombinator, Caffeinated Capital, Array.vc, and top angels from Databricks, Meta, and Lyft.

This is an excellent opportunity for someone passionate about distributed systems and storage technologies to make a significant impact in the evolving landscape of data processing and AI/ML infrastructure. The role combines technical challenges with the excitement of working at a promising startup that's already achieving impressive scale with their technology.