Software Engineer, Code Generation

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.
Ideal Candidate
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
Curiosity, a positive attitude, and a drive to continue learning
Excellent verbal and written communication skills
Nice to Have
Familiarity with cloud‑native distributed systems (e.g., Kubernetes)
Experience with NoSQL databases and understanding of their trade‑offs is great, but not required. We'll teach you NoSQL
Contributions to relevant open‑source projects
Position Expectations
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
Participate actively in code reviews to enforce best practices and patterns
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
Success Measures Within the first three months, you will have:
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
Started collaborating with your peers and contributed to code reviews
Within six months, you will have:
Familiarised yourself with the rest of our the application modernization tool stack
Delivered at least one large scale feature that spans the entire tech stack
Reviewed and contributed to scope and technical design documents
Within 12 months, you will have:
Become a key contributor to our backend stack, capable of taking on complex features independently
Helped recruit and interview new 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 is an equal opportunities employer.
REQ ID:
MongoDB’s base salary range for this role in Canada is: $108,000—$149,000 CAD
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