Candidate Profile
10+ years of experience in data management systems.
Proven experience in developing production-level code utilized by a large user base, with a focus on robust design and high code quality.
A degree in Computer Science or a related field, or equivalent practical experience, demonstrating strong competencies in data structures, algorithms, and software design/architecture.
Familiarity with extensive code bases written in C++ or a similar systems programming language, with the ability to identify defects, assess work complexity, and devise evolution and integration strategies as we refresh various system components.
A genuine passion for the theory and practice of database query engines, with hands-on or academic experience in the database field.
About the job
Be a vital part of the MongoDB Server Query Optimization team, where you will contribute to the development of a top-tier distributed open-source query optimizer. This team is integral to enhancing the overall experience and performance of data processing. Our responsibilities encompass the MongoDB Query Language, guiding each query through its lifecycle, from parsing to optimization and plan selection.
With a presence in various US and European cities, including New York, Dublin, Seattle, Palo Alto, and Chicago, we offer both office-based and remote work options, ensuring that project timelines align with the convenience of each time zone.
We tackle a variety of fascinating challenges that directly affect users, including transactional, time-series, and analytical workloads. Our mission is to systematically revamp every significant component of our optimization and execution systems. We invite you to help us design and construct the core of a distributed, flexible schema, document database.
About MongoDB
MongoDB is a leading provider of modern, flexible database solutions, enabling organizations to harness the power of data in real-time. Our innovative technology supports a diverse array of applications, from transactional systems to big data analytics, making us a key player in the open-source database landscape.
This job posting is no longer active and is not accepting applications.
Candidate Profile
10+ years of experience in data management systems.
Proven experience in developing production-level code utilized by a large user base, with a focus on robust design and high code quality.
A degree in Computer Science or a related field, or equivalent practical experience, demonstrating strong competencies in data structures, algorithms, and software design/architecture.
Familiarity with extensive code bases written in C++ or a similar systems programming language, with the ability to identify defects, assess work complexity, and devise evolution and integration strategies as we refresh various system components.
A genuine passion for the theory and practice of database query engines, with hands-on or academic experience in the database field.
About the job
Be a vital part of the MongoDB Server Query Optimization team, where you will contribute to the development of a top-tier distributed open-source query optimizer. This team is integral to enhancing the overall experience and performance of data processing. Our responsibilities encompass the MongoDB Query Language, guiding each query through its lifecycle, from parsing to optimization and plan selection.
With a presence in various US and European cities, including New York, Dublin, Seattle, Palo Alto, and Chicago, we offer both office-based and remote work options, ensuring that project timelines align with the convenience of each time zone.
We tackle a variety of fascinating challenges that directly affect users, including transactional, time-series, and analytical workloads. Our mission is to systematically revamp every significant component of our optimization and execution systems. We invite you to help us design and construct the core of a distributed, flexible schema, document database.
About MongoDB
MongoDB is a leading provider of modern, flexible database solutions, enabling organizations to harness the power of data in real-time. Our innovative technology supports a diverse array of applications, from transactional systems to big data analytics, making us a key player in the open-source database landscape.