is a multi-cloud service that allows users to execute complex full text and vector search queries using the . Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale.
Our team is building the cloud-based distributed systems software responsible for the lifecycle of search indexes including: data ingestion, index building, partitioning, performance, availability, and backup management. Our product is quickly gaining traction with customers and we are making core architectural improvements that you will contribute to.
This role is based in Toronto, ON hybrid.
Successful candidates will have the following qualities:
You will:
Success measures:
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
Software Engineer 3, Atlas Search Systems • Toronto
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