Senior Staff Engineer

MongoDB•Washington, DC

13h•Hybrid

About The Position

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. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges. We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI. The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle. We are looking to speak to candidates who are based in Palo Alto for our hybrid working model.

Requirements

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
Have experience in using GenAI in building complex large-scale systems, and know 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-functions
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

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
Lead 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