Software Engineer, Systems

Eventual; Deutschland; Remote; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A technology firm in Germany is looking for an experienced Software Engineer specializing in systems programming. The ideal candidate will have over 8 years of experience, particularly in building distributed data systems. Responsibilities include optimizing workloads and improving resource utilization for the Daft distributed data engine. This role offers a dynamic environment with opportunities for architectural design and product engagement.

Qualifikationen

• 8+ years of experience in systems programming.
• Background in building distributed data systems or databases is ideal.
• Experience in a Series A to C startup is a plus.

Aufgaben

• Build key capabilities for the Daft distributed data engine.
• Optimize users’ workloads with modern database techniques.
• Improve memory stability through efficient data structures.
• Enhance resource utilization and fault tolerance.
• Integrate with modern data lake technologies.
• Participate heavily in product design.

Kenntnisse

Experience in systems programming

Core architectural design

Distributed data systems

Modern database techniques

Streaming computation

Jobbeschreibung

What we're looking for?

We need a Software Engineer, Systems with 8+ years of experience in systems programming, ideally with a background in building distributed data systems or databases. You should be comfortable with core architectural design and implementation, and have a track record of building complex system internals from the ground up. Bonus points if you have experience at a Series A to C startup that sold data infrastructure as a product.

What you'll do:

• Build key capabilities for the Daft distributed data engine, focusing on core architectural design and implementation.
• Optimize users’ workloads with modern database techniques, improving planning and query optimization.
• Improve memory stability through streaming computation and efficient data structures within the execution engine.
• Enhance Daft’s resource utilization, task scheduling, and fault tolerance within the distributed scheduler.
• Improve Daft integrations with modern data lake technologies such as Apache Parquet, Apache Iceberg, and Delta Lake.
• Wear many hats, including tinkering with infrastructure, engaging with customers, and participating heavily in product design.