Staff Engineer, Code Generation

About the Role

The Code Gen team at MongoDB is focused on building AI-powered code transformation tools designed to modernize rigid, legacy applications. These applications often suffer from poor scalability and high operating costs. The goal is to transform them into modern, microservices-based architectures built on MongoDB. You will be joining a team at the forefront of innovation and creativity.

The Opportunity

We are looking for a Staff Engineer with domain expertise and significant experience in modernizing legacy applications based on traditional database systems. A key advantage for this role is profound prior experience in leveraging AI, particularly LLMs and GenAI capabilities, to enable reliable, self-driving automation of code transformation, iterative build, and test processes. In this position, you will be instrumental in initiating technical strategies and ideas, and lead the Code Gen team in designing, building, and optimizing our code transformation workflow and tools. You will work on critical components ensuring the scalability, efficiency, and reliability of our services, including crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities.

Location

This role will be based out of North America.

Qualifications

• Extensive experience (8+ years) in software development and operations, with a proven track record of delivering high-performance, correct, and architecturally excellent solutions 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-functionally.
• Experience in leading the design and development of complex workflows 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, particularly in building AI skillsets.

Position Expectations

Strategic Partnership

• Partner with product managers, AI researchers, and other engineers to translate complex requirements into robust technical solutions.
• Guide the team through technical challenges related to autonomous code transformation.

Architectural Leadership

• Drive the architectural vision and technical strategy for code generation tools.
• Lead the team in designing and leveraging GenAI to build reliable, scalable building blocks that are extendable and easy to assemble into an autonomous workflow.

Engineering Excellence & Mentorship

• Define and champion engineering best practices, patterns, and standards across multiple teams.
• Act as a hands-on leader, contributing 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 MongoDB IP.

Success Measures

Within the first three months, you will have:

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

Within six months, you will have:

• 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 for guiding and reviewing technical designs.

Within 12 months, you will have:

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

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 modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB 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.

MongoDB is an equal opportunities employer.

Compensation and Benefits (Canada)

• Base Salary Range (Canada): $159,000 - $221,000 CAD
• Benefits: Equity, Employee Stock Purchase Program, Flexible Paid Time Off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings.

Req ID

425546