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Note: The job is a remote job and is open to candidates in USA. MongoDB is a company that empowers innovation at the speed of the market through its unified database platform. They are seeking a Staff Engineer to lead the Code Gen team in building AI-powered code transformation tools that modernize legacy applications into scalable, microservices-based architectures.
Responsibilities
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
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
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
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
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
Skills
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
Benefits
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
Health benefits offerings
Company Overview
MongoDB is a global database software company offering NoSQL, cloud database, and AI-ready data platform. It was founded in 2007, and is headquartered in New York, New York, USA, with a workforce of 5001-10000 employees. Its website is
Company H1B Sponsorship
MongoDB has a track record of offering H1B sponsorships, with 39 in 2026, 152 in 2025, 149 in 2024, 133 in 2023, 79 in 2022, 51 in 2021, 30 in 2020. Please note that this does not guarantee sponsorship for this specific role.