MongoDB
database
StaffSoftwareEngineer-QueryExecution
Neural analysis suggests this role is
optimal for Lead candidates.
“Staff Software Engineer - Query Execution at MongoDB. Skills: query engine development, database internals, C++, distributed systems, technical leadership. building and improving the core execution engine that powers all queries. developing the physical operators for data retrieval and manipulation”
Industry & Context.
trace down defects; estimate work complexity; design evolution and integration strategies
What They're Looking For.
Must Have
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 competencies in data structures, algorithms, and software design/architecture, Experience with large code bases written in C++ or another systems programming language, 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
Nice to Have
Kubernetes a plus
What You'll Do.
building and improving the core execution engine that powers all queries
developing the physical operators for data retrieval and manipulation
improving the runtime for complex analytical and transactional workloads
owning critical components such as our new execution engine
supporting the query execution needs of other major products like Atlas Streams
Atlas Search and Vector Search
designing and building the core of a distributed
flexible schema document database
defining the 12-month roadmap for Query Execution
researching state-of-the-art systems
providing technical vision and direction
delivering on long-term (6-18 month) goals to innovate in high-performance query execution
production-ready C++ code
advising management on key decisions related to architecture and processes
contributing to the development of a project slated for the next major version
fixing bugs in a minor version of our latest stable release
taking on code review responsibilities
drafting and reviewing the design for new features
contributing to the long-term technical roadmap of the MongoDB Query team
directly owning and driving a component level roadmap
How You'll Work.
Team & Collaboration
collaborate closely with colleagues across different time zones; collaborate with stakeholders across the company on large initiatives
Communication Scope
presenting a favorite paper or system architecture
Process & Methodology
define and drive roadmaps for a component over the medium term, coordinating initiative-level strategy
Full Job Description
Join the MongoDB 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 MongoDB'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 MongoDB 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
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