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.
Our R&D Productivity Group
MongoDB is a complex, mission-critical database server that operates in a wide range of environments. Customers rely on its ability to meet high standards for Performance, Security, Availability, and Correctness. Achieving these standards requires robust developer tooling at every layer of the stack, from the underlying storage engine to the tools supporting our Atlas cloud offering. The Developer Productivity organization plays a vital role in enabling MongoDB engineers to ship products that meet our high company standards.
Within Developer Productivity, the Last Mile team works closely with teams across the company to identify challenges and solve them in ways that delight other development teams. Our engineers collaborate with stakeholders delivering critical features, pinpoint gaps in core infrastructure, and implement solutions that benefit all development teams. This role requires a deep empathy for stakeholders, a strong understanding of business impact, and a willingness to dive into the entire breadth of our tooling. This is a unique opportunity to drive broad impact on both the business and the daily workflows of teams throughout MongoDB.
This role can be based out of our Toronto office or remotely in the Ontario region.
The ideal candidate should
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