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About the role
Join our MongoDB Search Systems Engineering team at the forefront of building next-generation database infrastructure at scale. You'll work alongside some of our most talented and deeply technical engineering teams who are architecting distributed systems that power highly performant search and AI applications for enterprise customers worldwide.
What they're looking for
- Direct experience with search technologies (Elasticsearch, Solr, Lucene) or vector databases, particularly in production environments at scale
- Experience with AI/ML infrastructure or building platform capabilities that enable AI applications (vector search, embeddings management, hybrid retrieval systems)
- Technical Immersion: Complete a full architectural audit of the search stack. Be able to debate replication flows and consistency guarantees with Staff Engineers
- State of Reliability: Deliver a report identifying the top 3 sources of operational toil and observability blind spots
- The Quick Win: Identify and ship one low-hanging reliability improvement (e.g., a missing metric or doc gap) to demonstrate immediate value to the engineering team
- Operationalize SLOs: Partner with SRE to publish official SLOs/SLIs, shifting the culture from "is it down?" to managing error budgets
More about this role
Join our MongoDB Search Systems Engineering team at the forefront of building next-generation database infrastructure at scale. You'll work alongside some of our most talented and deeply technical engineering teams who are architecting distributed systems that power highly performant search and AI applications for enterprise customers worldwide. This team operates at the intersection of infrastructure innovation and customer impact—building the foundational platform capabilities that will define how organizations leverage search and AI at scale for years to come.
In this role, you'll serve as both strategic partner and technical translator, helping brilliant engineers navigate the path to operational excellence while maintaining the forward vision to anticipate market needs 18-24 months ahead of current development cycles.
What Makes This Role Unique: This is about architecting the future of search infrastructure. You'll be working with engineers who live and breathe distributed systems, helping them channel that brilliance toward platforms that don't just work today, but anticipate the architectural needs of tomorrow's AI-native applications. If you light up at the challenge of...
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