Staff Engineer, Search Systems & Atlas Architecture

Triwill Group; San Francisco, Northern (CA, KY); Hybrid; USD 151,000 - 297,000; Full time

Job summary

MongoDB is seeking an experienced Senior Staff Engineer to set the technical direction for the Search and Vector Search infrastructure. You will own the cross-system data infra layer and guide how AI-native capabilities are integrated.

Based in San Francisco, CA, this hybrid role partners with global teams to define roadmaps, mentor engineers, and raise the technical ceiling across mongot and Mongo Management Service.

Qualifications

• 10+ years of experience in data management systems or distributed infrastructure.
• Deep proficiency in modern programming languages, with Java fluency preferred.
• Experience designing/operating distributed systems, cloud services, or SaaS at scale.
• Ability to reason about systems at the physical layer: durability, consistency, concurrency.
• Track record of operating at Staff or Principal scope: leading cross-team initiatives.

Responsibilities

• Own the cross-system data infrastructure layer for MongoDB's next-generation Search and Vector Search capabilities, with long-term outcomes.
• Define the technical roadmap for Atlas Search and drive alignment across engineering teams globally.
• Lead the architecture and evolution of mongot and Mongo Management Service infrastructure, ensuring durability and scale.
• Drive multi-team initiatives by building technical consensus and setting direction.
• Serve as a trusted technical partner to leadership on roadmap and engineering processes.
• Mentor through code review and knowledge-sharing to raise team capability.
• Standardize cross-team collaboration to reduce coordination costs and increase execution velocity.

Skills

Java

Distributed systems

Data infra

Staff-level leadership

System reliability

Tools

JVM

Cloud services

Job description

MongoDB is seeking an experienced Senior Staff Engineer to set the technical direction for the Search and Vector Search infrastructure. You will own the cross-system data infra layer and guide how AI-native capabilities are integrated.

Based in San Francisco, CA, this hybrid role partners with global teams to define roadmaps, mentor engineers, and raise the technical ceiling across mongot and Mongo Management Service.