Senior Staff Engineer, AMP
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. We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints.
Responsibilities
- Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement.
- Provide thought leadership, and execute AMP roadmaps to influence and shape the future of how global enterprises leverage GenAI.
- Led the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the workflow of application modernization stages.
- 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.
- Collaborate with MongoDB product teams to ensure the modernized applications integrate seamlessly with customers’ database ecosystem.
- Act as a hands-on leader, guiding the team through technical challenges related to where and how to leverage GenAI to build the critical building blocks of application modernization toolset.
Qualifications
- 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure.
- Deep experience in building data warehouses and core components for data processing systems.
- Experience in using GenAI in building complex large-scale systems, and knowledge of what GenAI is best suited to do.
- Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation.
- 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results.
- Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functionally.
- 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
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.
Req. ID: 1273362664 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, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings.
Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
MongoDB’s base salary range for this role in the U.S. is: $211,000—$363,000 USD