MongoDB is building a world‑class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real‑time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization. 2+ years of engineering experience in backend systems, distributed systems, or core platform development Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems‑level programming, memory management, and performance tuning Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium Experience with relational data modeling and hands‑on experience with at least one SQL database (Postgres, MySQL, etc) Exposure to client‑side technologies such as JavaScript and React is a plus Good understanding of algorithms, data structures and their time and space complexity Experience with NoSQL databases and understanding of their trade‑offs is great, but not required.

Contributions to relevant open‑source projects Contribute high‑quality,



well‑tested backend code to the data migration engine and core components of our generative AI orchestration platform Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap Work to develop robust and efficient backend services that orchestrate AI functionalities Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration Help troubleshoot and resolve complex technical issues in our distributed systems Give and solicit feedback on technical design documents and pull requests Perform tasks related to process such as CI/CD, quality, testing, etc Familiarize yourself with the MongoDB database and aggregation language Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks Reviewed and contributed to scope and technical design documents Helped recruit and interview recent members of the team Collaborated effectively with other teams at MongoDB on cross‑functional projects MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB’s base salary range for this role in Canada is: $108,000—$149,000 CAD #

📌 Software Development Engineer - Machine Learning (Calgary)
🏢 MongoDB
📍 Calgary