Software Engineer, Query Processing

Firebolt; München; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Firebolt in Munich is expanding its team to enhance the vectorized query engine and storage layer. You will contribute to a high-performance distributed system focused on fast analytics and open table formats like Iceberg, with opportunities to optimize for real-time workloads.

Join a technically strong team and help push performance, stability, and scalability of the platform in a global data infrastructure product.

Qualifikationen

• Bachelor’s or Master’s in Computer Science, Engineering, or related field or equivalent experience.
• Experience working with modern C++ on production software (C++20).
• Experience building multi-threaded, high-performance systems.
• Experience with database internals and query processing.

Aufgaben

• 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.

Kenntnisse

C++20

Multi-threading

Database internals

Query processing

Ausbildung

Bachelor’s/Master in CS or related

Jobbeschreibung

Analytical databases are moving deeper into the software stack. This is accelerated by agentic AI: teams building on top of analytical databases are more technical, and modern data intensive products demand more of these systems than traditional BI and reporting workloads. We believe the next generation of data infrastructure requires zero compromises: open-source, scale-out, cloud-native, and capable of handling both batch and real-time with the speed agentic AI demands. This is what we’re building in Firebolt - an extremely efficient, Postgres-compliant analytical database. We architected it to provide maximum performance at the lowest operational complexity in any setting, running as a single binary on a laptop, or as a cluster of hundreds of nodes in your cloud or data center. We’re well funded, have an exceptional engineering team and we’re working with some of the world’s top tech companies on their most difficult data challenges.

About the role

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

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 indexes on top of cloud storage, expanding support for semi-structured data, supporting Python UDFs, integration with AI inference engines, 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.

Requirements

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

Preferred qualifications

• Strong background in database internals.
• Experience writing high-performance code for network access, SSD access, or CPU-heavy computation.
• Experience building large-scale systems.
• Experience with distributed systems or distributed query processing.

Compensation

The actual compensation package will be determined based on the candidate’s qualifications, experience, and geographic location and may vary within the stated range.