Senior Staff Engineer, MongoDB

• 10+ years of experience designing and building distributed systems at scale
• Strong hands-on experience with search technologies (Lucene, inverted indexes, ranking algorithms, dense retrieval)
• Expertise in Java or C++ (Scala, Go, or Rust experience a plus)
• Deep understanding of distributed systems fundamentals (consistency, sharding, replication, consensus protocols)
• Experience operating cloud-native services in AWS, Azure, or GCP environments
• Proven ability to drive complex technical projects across multiple teams
• Strong written and verbal communication skills for technical design reviews and cross-team collaboration

Desirable

• The Atlas Search Systems team is seeking a Senior Staff Engineer to drive the next generation of search and retrieval systems at MongoDB
• This role focuses on designing, building, and scaling distributed systems that power Atlas Search — including full-text search, vector search using Voyage.ai models, hybrid retrieval techniques, indexing pipelines, and query execution engines
• The Senior Staff Engineer will partner with engineers across Atlas, Search, and Voyage.ai to deliver highly available, scalable, and cost-efficient search capabilities directly integrated into MongoDB Atlas
• Lead architecture and system design for core Atlas Search components (indexing, retrieval, ranking, and vector search)
• Define and drive cross-team technical initiatives focused on scaling, availability, performance, and operational simplicity
• Build high-performance, cloud-native distributed services in production environments
• Prototype and deliver systems that integrate emerging retrieval technologies, including hybrid BM25 + dense vector search
• Collaborate closely with engineers, product managers, and leadership across Atlas, Search, and Voyage.ai
• Mentor senior and staff engineers, providing technical leadership and raising the overall engineering bar