Staff Engineer, Code Generation

The Code Gen team is tasked with building AI-powered code transformation tools that transform rigid, legacy applications that suffer from poor scalability and high operating costs into modern, microservices-based architectures that are built on top of Mongo

DB. Join our team and be at the forefront of innovation and creativity.

We are looking for a Staff Engineer with domain expertise and years of experience in modernizing legacy applications that are based on traditional database systems. A significant advantage is profound prior experience in leveraging AI, particularly LLMs and GenAI capabilities, to enable reliable, self-driving automation of the code transformation, iterative build, and test processes. In this role, you will be instrumental in initiating technical strategies and ideas, lead the Code Gen team in designing, building, and optimizing our code transformation workflow and tools.

You will work on critical components that ensure the scalability, efficiency, and reliability of our services. 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, build and test.

This role will be based out of North America.

• Extensive experience (8+ years) in software development and operations, with a proven track record of delivering high performance, correctness, and architectural excellence in fast-paced environments
• Experience using Relational Databases such as Oracle, MySQL, Microsoft SQL Server or PostgreSQL
• Experience with tools and methodologies for code analysis, refactoring, and automated testing
• Experience in designing and implementing complex software systems, collaborating effectively with engineers of all experience levels to achieve high reliability and performance
• Practical knowledge of integrating GenAI into large-scale, complex systems, including a clear understanding of appropriate use cases for GenAI
• Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions
• Experience in leading the design and development of complex workflow for AI model integration and output processing.
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset

• Strategic Partnership:
  Partner with product managers, AI researchers and other engineers to translate complex requirements into robust technical solutions. Guiding the team through technical challenges related to autonomous code transformation
• Architectural Leadership:
  Drive the architectural vision and technical strategy for code gen tools. Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow
• Engineering Excellence & Mentorship:
  Define and champion engineering best practices, patterns, and standards across multiple teams. Act as a hands‑on leader, contribute core, foundational code that solves the hardest problems and sets the standard for the rest of the team
• Product Excellence:
  Collaborate with security and product teams to ensure the platform can execute code generation and LLM‑based tasks securely, protecting both client data and Mongo
  
  DB IP

• Fully ramped up on our architecture, business domain, and AMP customers' pain points in modernizing legacy applications
• Established yourself as the technical leader within the team, actively driving technical decisions
• Begun collaborating with product counterparts and the code gen team to drive execution strategies on committed deliverables

• Successfully led the team to deliver a prototype or initial release of a major feature for code transformation
• Contributed to and helped define and scope roadmaps for code gen deliverables
  
  Established a precise rhythm of execution, and served as a key stakeholder of the code gen team for guiding and reviewing technical designs

• Become recognized as the go‑to technical expert for code gen domain
• Delivered a stable, production‑ready code transformation workflow that significantly reduces frictions of the application modernization workload for our Field Engineering and Delivery teams
• Played a crucial role in helping recruit, interview and mentor new team members

Mongo

DB 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.

Mongo

DB is an equal opportunities employer.

Req

Mongo

DB’s base salary range for this role in Canada is: $159,000—$221,000 CAD