Software Engineer, Code Generation
Listed on 2026-05-31
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Software Development
Backend Developer, Software Engineer, Cloud Engineer - Software, Full Stack Developer
Overview
Mongo
DB 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 Mongo
DB 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 modelling, code generation, initial data loads, and continuous data synchronization.
We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data‑intensive applications to join our engineering team. This role involves designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. You will craft sophisticated orchestration layers, integrate with advanced AI capabilities, and build a modern data migration suite using Java, Spring Boot, Kafka, Debezium, and React.
The position will be based in the PST and MST zones only.
In this role you will:
- 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 to deliver on the product roadmap.
- Develop robust and efficient backend services that orchestrate AI functionalities.
- Identify and address performance bottlenecks and architectural challenges, particularly within data flow and orchestration.
- Participate in code reviews, enforce best practices and patterns.
- Help troubleshoot and resolve complex technical issues in our distributed systems.
- Provide and solicit feedback on technical design documents and pull requests.
- Perform tasks related to process such as CI/CD, quality, testing, etc.
- Contribute 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 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.
- 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.
Within the first three months:
- Familiarise yourself with the Mongo
DB database and aggregation language. - Familiarise 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.
- Start collaborating with your peers and contribute to code reviews.
Within six months:
- Familiarise yourself with the rest of our application modernisation tool stack.
- Deliver at least one large‑scale feature that spans the entire tech stack.
- Review and contribute to scope and technical design documents.
Within twelve months:
- Become a key contributor to our backend stack, capable of taking on complex features independently.
- Help recruit and interview new members of the team.
- Collaborate effectively with other teams at Mongo
DB on cross‑functional projects.
- 2+ years of engineering experience in backend systems, distributed systems, or core platform development.
- Experience in 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 modelling and hands‑on experience with at least one SQL database (Postgres,…
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