Software Engineer, Code Generation

MongoDB; Calgary; On-site; CAD 108,000 - 149,000; Full time

Job summary

A leading technology firm in Calgary is seeking a backend engineer to join its Code Generation and Data Migration team. This role involves contributing to high-quality backend code and collaborating with cross-functional teams to enhance application modernization. Candidates should have a strong background in programming languages such as Java, Rust, C/C++, or Python, and experience with distributed systems and SQL databases. Salary range is CAD 108,000 to CAD 149,000, reflecting the investment in talented engineers.

Qualifications

• 2+ years of experience in backend, distributed systems, or core platform development.
• Experience in Java, Rust, C/C++, and/or Python with a strong grasp of systems-level programming.
• Familiarity with data modeling and experience with at least one SQL database.

Responsibilities

• Contribute high-quality, well-tested backend code to the data migration engine.
• Collaborate with Product Management and AI researchers to build on the product roadmap.
• Identify and address performance bottlenecks in systems.

Skills

Backend systems expertise

Java

Rust

C/C++

Python

Apache Kafka

SQL databases

Algorithms

Excellent communication

Job description

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: 425547

MongoDB’s base salary range for this role in Canada is: $108,000—$149,000 CAD