Software Engineer, Data Migration

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.

We're looking for a Software 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.

This role will be based out of Washington, Oregon, or California.

The ideal candidate for this role will have

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

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations mod…