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An established industry player is seeking a talented engineer to join their innovative team focused on enhancing user interfaces for a cutting-edge search service. This role offers the opportunity to work with modern technologies like Typescript and Java, contributing to the design and implementation of impactful features for a globally recognized data platform. As part of a collaborative team, you will engage in architecture discussions, perform code reviews, and coordinate with various teams to ensure the successful delivery of software solutions. If you're passionate about building exceptional products and solving customer challenges, this is the perfect opportunity for you.
MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
Atlas Search is a multi-cloud service that allows users to execute complex full text and vector search queries using the MongoDB Query Language. Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale.
Join the team that builds user interfaces for Atlas Search. Our products enable Atlas users to configure and manage their search infrastructure, test and troubleshoot behavior of search deployments, and experiment with new features. We have a unique opportunity in the search engineering organization to impact adoption of Atlas Search, especially focusing on new products like vector search and how customers implement RAG and chat style applications on top of MongoDB.
This role can be based out of the MongoDB San Francisco office or remotely in the US.