Staff Engineer, Code Generation

About the Role

The Code Gen team is at the forefront of developing AI-powered code transformation tools. Our mission is to convert rigid, legacy applications plagued by scalability issues and high operating costs into modern, microservices-based architectures built on MongoDB. We are seeking a Staff Engineer with deep domain expertise in legacy application modernization and a proven ability to leverage AI, particularly LLMs and GenAI, for automated code transformation, iterative builds, and testing.

In this role, you will be instrumental in initiating technical strategies, leading the 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, 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 position is based in North America.

Position Expectations

• Strategic Partnership: Collaborate with product managers, AI researchers, and 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 gen tools. Lead the team in designing and leveraging GenAI to build reliable, scalable, and extendable building blocks for 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 code to solve complex problems and set standards for the team.
• Product Excellence: Partner with security and product teams to ensure the platform executes code generation and LLM-based tasks securely, protecting client data and MongoDB IP.

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and customer pain points in application modernization.
• 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.

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 gen domain.
• Delivered a stable, production-ready code transformation workflow that significantly reduces friction for our Field Engineering and Delivery teams.
• Played a crucial role in helping recruit, interview, and mentor new team members.

Requirements

• 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-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.

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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Compensation

MongoDB’s base salary range for this role in the U.S. is: $137,000 - $270,000 USD.

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, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed and the benefits are only applicable to U.S.-based candidates.