Senior Engineering Manager, Code Generation
MongoDB · California, United States · 3 wk ago
Engineering$151k–$297k/yrFull-time
About the role
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 ecosystem, reshaping complex large-scale services and team leadership.
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 Code Gen 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
Requirements
- 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
- 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results
- 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)
- Experience in using GenAI in building complex large-scale systems, and knowing what GenAI is best suited to do, is a plus
Qualifications
- 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
Skills
- Strong understanding of Generative AI and its applications in software development
- Experience with MongoDB and other document databases
- Experience with relational databases (Postgres, MySQL, etc.)
- Experience with cloud platforms (AWS, Google Cloud, Microsoft Azure)
- Experience with agile methodologies and DevOps practices
Benefits
- Hybrid working model
- Base salary range: $151,000—$297,000 USD
- Equity
- 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
Pay
- Base salary range: $151,000—$297,000 USD
Schedule
- Hybrid working model