Software Engineer - Query Execution
Deutschland
Verfasst am 2026-06-29
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Software Entwicklung
Backend Entwicklung, Datenbanktechnik
Join the the company Server Query Execution team, and help us build a world‑class distributed open‑source database. Our team plays a crucial role in the performance and efficiency of the company's data processing. We are responsible for building and improving the core execution engine that powers all queries, taking a logical query plan produced by the optimizer and turning it into reality.
This includes developing the physical operators for data retrieval and manipulation, improving the runtime for complex analytical and transactional workloads, and owning critical components such as our new execution engine. In addition to the core server, we support the query execution needs of other major products like Atlas Streams, Atlas Search and Vector Search, and mongosync, making our work vital to the entire the company ecosystem.
You will be joining a globally distributed team with a significant presence in both North America and Europe. While this role is based in the NAMER region, you will regularly collaborate closely with colleagues across different time zones. We support both office‑based work in our North America hubs like New York, as well as remote work.
We have tons of interesting problems to solve with a direct impact on users for transactional, time‑series, and analytical workloads. To meet the ever‑increasing data demands of modern applications, we are actively evolving our query system; this includes strategically re‑architecting and improving key components of our query execution engine. We need your help to design and build the core of a distributed, flexible schema document database.
This role can be based out of one of our North America offices, such as NYC or Palo Alto, or remotely across North America.
Candidate Profile- 10+ years of hands‑on, professional experience in query engine development or database internals
- Experience with building production‑level code with a large user base, robust design structure and rigorous code quality
- Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture
- Experience with large code bases written in C++ or another systems programming language. You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system
- Proven track record of technical leadership: demonstrated ability to define and drive roadmaps for a component over the medium term
- Passion for the theory and practice of database query engines, as well as hands‑on or academic experience in the database domain
- Play a key role in defining the 12‑month roadmap for Query Execution by researching state‑of‑the‑art systems and leveraging your deep knowledge of industry trends to provide technical vision and direction
- Take direct responsibility for delivering on long‑term (6‑18 month) goals to innovate in high‑performance query execution and other areas of responsibility, co‑ordinating initiative‑level strategy and personally writing well‑tested, production‑ready C++ code
- Advise management on key decisions related to our architecture and processes, and collaborate with stakeholders across the company on large initiatives
- Influence and grow team members through active mentoring, coaching, and leading by example, helping to cultivate a strong talent bench through interviewing and knowledge sharing
- In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series;
You've learned about the company's project lifecycle, and our long‑term goals for the system - In six months, you’ll have taken on code review responsibilities and are playing an active role in drafting and reviewing the design for new features. You have expanded the team's horizons by presenting a favorite paper or system architecture related to query systems
- In twelve months, on the basis of your extensive past experience in the query space, you have contributed to the long‑term technical…
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