About Firebolt

Firebolt is the Cloud Data Warehouse purpose-built for the speed, scale, and flexibility of data & AI applications. Our platform delivers ultra-low latency, high concurrency, and multi-dimensional elasticity-empowering data and AI teams to build data-intensive products that perform at scale. Backed by over $270M in VC funding, a world-class GTM and Engineering team, and an ambitious vision, Firebolt is leading the transformation of AI data infrastructure.

About the role

Firebolt is building a team of talented developers to work on our distributed query processing engine.

As part of our growing team here in Munich, you can have a major impact on Firebolt’s product. We are focused on improving the performance of and extending our vectorized query engine which sits at the heart of our product.

Our projects range from building a first-class experience on Apache Iceberg, improving distributed query processing, all the way to collecting detailed statistics for our cost-based query optimizer. If these challenges sound exciting, we would love to hear from you!

Your responsibilities

• Design, build, and maintain our cutting-edge query processing and optimization engine.
• Help shape how Firebolt supports open table formats like Iceberg, ensuring correctness, performance, and future extensibility.
• Participate in design discussions, code reviews, and performance investigations across the query processing team.
• Partner with engineers across Firebolt to deliver well-integrated, high-performance query execution features.

• Bachelor’s/Master’s/PhD in Computer Science, Engineering, or a related field or equivalent experience.
• Experience working with C++ on production software.
• Fluency in modern C++ (C++11 and above, our codebase uses C++20).
• Experience building multi-threaded, high-performance systems.
• Experience with database internals and query processing.
• Experience developing for Linux.

Preferred qualifications

• Experience with open file and table formats, e.g. Apache Iceberg and Parquet
• Experience building large-scale systems.
• Experience with distributed systems or distributed query processing.