MongoDB Engineering: Expanding Our Presence in Greater Toronto

Toronto has long been recognized as one of North America's fastest-growing tech hubs , boasting a diverse, world-class talent pool and a vibrant startup culture. As MongoDB continues to expand globally, Toronto stands out as a strategic location to drive engineering excellence, foster innovation, and cultivate a collaborative culture. We're currently hiring for three key product areas in the greater Toronto area: Identity and Access Management (IAM), Atlas Stream Processing, and Atlas Search. At MongoDB, our engineers are empowered to solve complex problems, take ownership of their work, and collaborate with world-class colleagues to build the future of data. As we scale our presence in Toronto, we aim to create an environment where local engineers can grow their careers, work on cutting-edge technology, and have a meaningful impact on the products that enable organizations around the globe to build the applications of today and tomorrow. Why Toronto? "Toronto is well known as one of the largest tech hubs in North America. We're constantly looking to attract the most talented engineers to work with, and are really excited about expanding into Toronto, which has previously been untapped," said Kevin Rosendahl , Director of Engineering for Atlas Search and Vector Search. The decision to invest in Toronto is strategic. According to Tim Sedgwick , Vice President of Engineering for Atlas Stream Processing and App Services, "It enables us to increase engineering capacity responsibly, access high-velocity teams, and establish an innovation hub that mirrors our company’s values. We’re building a long-term hub here, and we want top engineers shaping that foundation with us." Meet the teams Identity and Access Management (IAM) The IAM team at MongoDB is responsible for managing customer identities and access to MongoDB products. "If we're doing our job well, we're making you safe and secure and not getting in your way," said Harry Wolff , Director of Engineering for Atlas IAM. "We own login, registration, SSO for other teams within MongoDB, and provide features like customer federation so large companies can securely log in with their own credentials." IAM is becoming a key differentiator in MongoDB's ability to land major enterprise customers. "We're going from a means to an end to a concrete dependency that unblocks major enterprise deals," Wolff said. "Our security bar is growing higher, and the work we do actively contributes to signing major contracts. I find that really exciting." The new team in Toronto will focus on building a new enterprise-grade information architecture. "Right now, one company could have 50-plus organizations in Atlas. We're building an umbrella layer to consolidate resources, configure access at scale, and give customers greater auditability and control," said Wolff. "We're building brand new functionality that enterprise customers are asking for." Wolff also emphasized career development and growth: "I joined MongoDB as a senior UI engineer, helped start the IAM team, and now I’m a Director. The company invests in its people, and this Toronto team will have the opportunity to grow alongside the product and make their mark." Atlas Stream Processing Atlas Stream Processing enables developers to continuously process streams of data using the MongoDB aggregation framework. It simplifies the creation of event-driven applications by eliminating the need for specialized infrastructure, allowing developers to stay within the MongoDB ecosystem. "Stream Processing is core to powering modern, event-driven applications and delivering value from streaming data," said Tim Sedgwick. "Our goal is to meet developers where they are and make it easy to build with MongoDB." The product has been generally available for just over a year, and there is a lot of exciting work on the horizon. "Some of the things we're focusing on this year include new sources and sinks, like Kinesis and Apache Iceberg, user-defined functions (UDFs), and distributed processing," Sedgwick said. "We're still early in the product lifecycle, and we're constantly learning from customers to deliver immediate impact." The Stream Processing team is around 50 people, distributed across the U.S., and now expanding into Toronto. "It's a strategic growth lever for us. We're creating a long-term innovation hub here," Sedgwick said. "Toronto engineers will be shaping the foundation of this product." Career growth is deeply embedded in the team culture. "I was the founding lead engineer in Austin for Atlas App Services. That experience of helping grow a new engineering hub was invaluable in my career. Now I lead engineering for Stream Processing," Sedgwick shared. "Joining MongoDB in Toronto could be a similar launchpad for someone else's journey." Atlas Search Atlas Search and Atlas Vector Search provide developers with built-in, relevance-based retrieval capabilities in the MongoDB database. This eliminates the need to sync data with external search engines, allowing teams to focus on building their applications. "Search at MongoDB is a fascinating place to be right now," said Kevin Rosendahl. "We're providing cutting-edge capabilities that power AI applications, large-scale systems, and we're making those tools more accessible across all MongoDB deployments." The team is distributed across major U.S. tech hubs and is now expanding into Toronto. Rosendahl explained, "We look for engineers excited about collaborating on complex, large-scale systems. The goal is to make powerful tools simple and intuitive for developers." A major focus in the coming year is on integrating capabilities from Voyage AI , a recent MongoDB acquisition. "We're bringing intelligent, AI-powered search out of the box," Rosendahl said. "And we're making sure these tools are available for developers everywhere, whether they use our managed service or deploy MongoDB on their own." Rosendahl’s own growth at MongoDB reflects the opportunities available: "I started as an individual contributor helping launch Atlas Search. I becamea lead engineer, then a staff engineer on a research team, and now I'm a Director of Engineering. MongoDB has supported my career development every step of the way." "Our engineers prioritize working together to build the right thing. That creates a culture that values collaboration, communication, and low ego," he added. "We're always looking for the next generation of leaders." Why join MongoDB? Joining MongoDB's engineering organization means becoming part of a culture rooted in trust, innovation, and impact. Our engineers are encouraged to take initiative, pursue curiosity, and help shape the future of software development. "We always look for culture adds—people who make us better, not just the same," said Harry Wolff. "Diversity of perspective and opinions is important at MongoDB ." Whether you're passionate about redefining access control, building intelligent data pipelines, or scaling AI-powered search, MongoDB offers the opportunity to work on industry-defining products alongside some of the most talented and driven people in tech. "MongoDB can be a defining moment in your career - through the unique set of challenges you’ll solve and the amazing people you’ll work with," said Sedgwick. "Above all, what makes MongoDB great is the people." Learn more about #LifeAtMongoDB and join us in building the future of data— become part of our talent community today . Visit our careers page to check out our open roles.

September 4, 2025

Culture

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