Senior Software Engineer, Data Migration & Code Generation

<p>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.</p> <p>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. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.</p> <p>This role will be based out of North America.</p> <h3><strong>The ideal candidate for this role will have</strong></h3> <ul> <li>6+ years of engineering experience in backend systems, distributed systems, or core platform development</li> <li>Proficiency 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</li> <li>Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium</li> <li>Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)</li> <li>Exposure to client-side technologies such as JavaScript and React is a plus</li> <li>Good understanding of algorithms, data structures and their time and space complexity</li> <li>Curiosity, a positive attitude, and a drive to continue learning</li> <li>Excellent verbal and written communication skills</li> </ul> <h3>Nice to Have</h3> <ul> <li>Familiarity with cloud-native distributed systems (e.g., Kubernetes)</li> <li>Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL.</li> <li>Contributions to relevant open-source projects.</li> </ul> <h3>Position Expectations</h3> <ul> <li>Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform</li> <li>Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap</li> <li>Work to develop robust and efficient backend services that orchestrate AI functionalities</li> <li>Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration</li> <li>Participate actively in code reviews to enforce best practices and patterns</li> <li>Help troubleshoot and resolve complex technical issues in our distributed systems</li> <li>Give and solicit feedback on technical design documents and pull requests</li> <li>Perform tasks related to process such as CI/CD, quality, testing, etc </li> </ul> <h3>Success Measures</h3> <p>Within the first three months, you will have:</p> <ul> <li>Familiarize you ... (truncated, view full listing at source)