Overview
The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. A core difficulty in legacy code transformation is guaranteeing the equivalence of the new application's business logic, ensuring it operates smoothly and efficiently with the new MongoDB data ecosystems in a reliable and scalable manner. The success of this mission heavily relies on the essential tools developed by the CodeGen team. We are looking for an experienced Senior Lead Software Engineer with a strong background in database ecosystems, reshaping complex large‑scale services, and team leadership.
This role will be based in North America west coast and offers a hybrid working model. The ideal candidate will have 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure, and 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results.
Responsibilities
- Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement.
- Drive the architectural vision and long‑term technical roadmap for the CodeGen product suite, ensuring it is scalable, reliable, and performant.
- Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs.
- Lead the design and implementation of complex, mission‑critical components of AMP’s code transformation toolset.
- Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence.
- Act as a hands‑on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary.
Qualifications
- Extensive product experience in building enterprise‑grade analytics systems for data streaming or data tooling.
- Extensive experience with relational and document data modeling and hands‑on experience with at least one SQL database (Postgres, MySQL, etc.) and at least one document database (e.g., MongoDB).
- Having experience in using GenAI in building complex large‑scale systems, and knowing what GenAI is best suited to do, is a plus.
- Curiosity, a positive attitude, and a drive to continue learning.
- Excellent verbal and written communication skills.
- Excellent time and project management skills, including the ability to make realistic assessments of project cost and complexity.
Success Measures
- Within the first three months: fully ramped up on our architecture, business domain, and team processes.
- Within six months: successfully led the team to deliver a major feature or product release, contributed to the architectural roadmap, and established a clear rhythm of execution and a high‑performing culture within the team.
- Within 12 months: recognized as the go‑to technical expert for the code transformation domain at MongoDB, delivered large‑scale features across the entire tech stack with measurable impact, and played a crucial role in recruiting, hiring, and growing the engineering team.
About MongoDB
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