Software Engineer, Code Generation

MongoDB is bolstering its hiring, focusing on creating tools that guide customers in transitioning their applications from relational databases to MongoDB. As businesses evolve their application development frameworks, they're increasingly drawn to the versatility of the document model. The Relational Migrator team, already instrumental in this area, aids developers in making the shift from relational databases to MongoDB. Now, they're broadening their toolkit and are keen on refining code using a mix of AI and traditional text processing.

MongoDB is seeking a Software Engineer with solid software engineering skills and a machine learning background. Joining this team, you'll be pivotal in a product engineering group dedicated to helping users navigate code conversion challenges with AI's support.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

2+ years of professional software development experience in Java or another programming language

Experience with generative AI and specifically LLMs is highly desirable

Experience with text processing engines such as ANTLR is highly desirable

Strong understanding of software engineering, system design, data engineering and/or cloud architecture

Have experience with compiler design, code parsing or related areas

Familiarity with concepts like abstract syntax trees (AST), lexical analysis, and syntax analysis

Curiosity, a positive attitude, and a drive to continue learning

Actively engages in emerging trends and research relevant to product features

Excellent verbal and written communication skills

Position Expectations

Collaborate with stakeholders to define and implement a code modernisation strategy, ensuring that transformed code aligns with modern software practices while preserving original functionality

Develop and maintain a robust code parser to accurately interpret legacy code structures, converting them into a standardised format like an abstract syntax tree (AST)

Provide thought leadership to the engineering team on using emerging technologies, frameworks and approaches to solve different problems

Collaborate closely with product managers and other engineers to understand business priorities and propose new solutions

Contribute and maintain the high quality of the codebase with tests that provide a high level of functional coverage and non-functional aspects with load testing, unit testing, integration testing, etc

Share your knowledge by giving brown bags, tech talks, and evangelising appropriate tech and engineering best practices

Define and improve business & product metrics to optimise the quality and cost of AI usage

Success Measures

Within the first three months, you will have

Familiarise yourself with the MongoDB database and aggregation language

Familiarise yourself with the problem space and the domain

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

Worked on and delivered a large-scale AI-based feature in the product

Contributed to and helped deliver a few releases of the product

Reviewed and contributed to scope and technical design documents

Within 12 months, you will have

Delivered large-scale features across our entire tech stack

Helped recruit and interview new members of the team

Collaborated with other teams at MongoDB

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native plat