Staff Architect, Search & Vector Infrastructure

MongoDB; San Francisco (CA); Hybrid; USD 151,000 - 297,000; Full time

Benefits offered by this job

Equity

Fertility assistance

Parental leave

401(k)

Job summary

MongoDB in San Francisco is seeking an accomplished architect to lead the cross-system data infrastructure for the next-generation Search and Vector Search capabilities. You will define the architecture for a self-contained search system spanning Community, Enterprise, and Atlas, while guiding AI-native integration efforts.

You will drive the Atlas Search roadmap, mentor engineers, and partner with leadership to scale MongoDB’s search infrastructure across cloud, on‑prem, and hybrid deployments.

Qualifications

• 10+ years of experience in data management systems or related distributed infrastructure.
• Deep proficiency in modern programming languages and techniques, with Java fluency preferred.
• Demonstrable experience designing and operating distributed systems, cloud services, or SaaS products at scale.

Responsibilities

• Own the cross-system data infrastructure layer for MongoDB's next-generation Search and Vector Search capabilities, carrying outcomes that span 6-18 months.
• Define the technical roadmap for Atlas Search, identifying gaps, proposing solutions, and driving alignment across engineering teams globally.
• Lead the architecture and evolution of the core mongot and Mongo Management Service infrastructure, making durability, consistency, and scale decisions with conviction.
• Drive complex, multi-team initiatives by building technical consensus, navigating ambiguity, and setting direction when there is no clean playbook.
• Serve as a trusted technical partner to leadership on roadmap, architecture, and engineering process, advising rather than just informing.
• Raise the technical ceiling of the team through mentoring, rigorous code review, and knowledge-sharing that creates leverage beyond your own output.
• Standardize how engineering teams across the globe contract with one another, reducing coordination costs and increasing execution velocity at scale.

Skills

Java

Distributed systems

Cloud services

SaaS products

Leadership

Job description

MongoDB in San Francisco is seeking an accomplished architect to lead the cross-system data infrastructure for the next-generation Search and Vector Search capabilities. You will define the architecture for a self-contained search system spanning Community, Enterprise, and Atlas, while guiding AI-native integration efforts.

You will drive the Atlas Search roadmap, mentor engineers, and partner with leadership to scale MongoDB’s search infrastructure across cloud, on‑prem, and hybrid deployments.