MongoDB
A Software Engineer at MongoDB works on the Query Integration team, focusing on building user-facing features for the core query engine and integrating query with other products in the MongoDB ecosystem.
Headquarters
New York, New York, United States
Company Size
5001-10000 employees
Founded
2007
MongoDB is a general-purpose, document-oriented database platform that uses a flexible, JSON-like data model (BSON) to help developers build modern applications. It’s available as self-managed software and as MongoDB Atlas, a fully managed cloud database service offering global clusters, automated scaling, backups, and enterprise-grade security. The platform delivers ACID transactions, a rich query and aggregation framework, full-text and vector search, change streams, mobile sync, and integrated tools for app services, analytics, and visualization. Widely adopted by startups and enterprises, MongoDB positions itself as an AI-ready database to accelerate time-to-market for data-driven applications.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for MongoDB.
27% above the average for this role
Dimensional Fund Advisors LP Has $117.59 Million Position in MongoDB, Inc. $MDB
6 hours ago
Senior C++ Software Engineer
Celonis
Software Engineer, Query Processing, Munich
firebolt
Senior Software Engineer , Query Processing, Munich
firebolt
Senior Software Engineer , Query Processing, Munich
firebolt
Staff Software Engineer
Celonis
Lead deep work on PostgreSQL internals (index access methods, operator classes) to design, implement and evolve indexing strategies for largescale unstructured / semi-structured data. Extend PostgreSQL's query engine by analyzing execution plans, introducing BSON aware operators, custom scan nodes and new cursor/continuation semantics to match NoSQL query needs and ensure efficient execution at scale. Design and tune index pruning strategies that keep large tables and indexes lean without regressing query performance. Collaborate across the PostgreSQL, MongoDB, and Linux Foundation hosted DocumentDB communities to share vision, align on roadmap priorities, and contribute features that advance the open source DocumentDB engine. Profile and analyze distributed system to identify performance bottlenecks. Conduct and participate in design/code reviews and help shape and steer the team coding guidelines. Embody our culture and values Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. These requirements include, but are not limited to the following specialized security screenings: Experience with internals of PostgreSQL or similar Enterprise Database Management system, including Storage Engine and High Availability. Experience building Distributed Systems with strong guarantees. 2+ years of experience in designing, developing and shipping system level features in a large-scale cloud application or a backend distributed system. 2+ years of experience developing and maintaining high-performance libraries or software engineering with a focus on large distributed systems involving concurrency, storage systems or databases.
Microsoft