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 MongoDB. 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.

A strong candidate for this

position will have​

• 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

Position Expectations​

• 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 MongoDB IP

Within the first three months, you will

have

• 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

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.

Req

ID: 425546

AI is used to review

applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves

forward.

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to

each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one

part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity,

participation in the 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. Please note, the base salary range listed below and the

benefits in this paragraph are only applicable to candidates based in Canada.

MongoDB’s base salary

range for this role in Canada is:

$159,000—$221,000 CAD