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Build and operate MongoDB’s next-gen cloud storage layer, ensuring reliability and durability for Atlas while automating infrastructure with Kubernetes and cloud platforms.
Senior or Staff Site Reliability Engineer at MongoDB to design, operate, and scale distributed storage services for Atlas, MongoDB's cloud-native database platform, using Python, Go, Kubernetes, and cloud providers.
Develops and tests features for MongoDB’s data platform using languages like C++, Go, or Python while collaborating with cross-functional teams in a hybrid Dublin office.
Builds backend systems and AI-powered tools in Python/Java to analyze legacy codebases, generate dependency graphs, and recommend MongoDB schemas for application modernization.
Builds and maintains the distributed cloud systems powering MongoDB’s Atlas Search, focusing on scalability, indexing, and query performance for large-scale data retrieval.
Builds and maintains the distributed infrastructure for MongoDB Atlas Search, a multi-cloud full-text and vector search service, using Java and cloud platforms.
Builds and optimizes MongoDB's vector search features, focusing on high-performance nearest-neighbor queries and aggregation operators in a hybrid San Francisco role.
Builds and improves MongoDB’s distributed query engine, optimizing query parsing, execution, and geospatial search for high-performance document databases.
Builds and maintains cloud-based distributed search systems for MongoDB Atlas, focusing on scalability, performance, and reliability of search indexes and data retrieval.
Designs and advises on scalable MongoDB-based systems for customers, collaborating with sales teams to solve technical challenges and drive adoption of MongoDB's data platform.
MongoDB continues to grow incredibly fast. This is the perfect opportunity to roll up your sleeves and have a positive impact at a hyper-growth company. We’re looking for someone who is excited to join a team where…
Senior Executive Assistant supporting MongoDB's Chief Legal Officer with calendar management, legal document coordination, and high-level administrative tasks in Palo Alto.
Leads AI product strategy for MongoDB’s internal IT systems, defining roadmaps for AI-driven automation and decision support to improve efficiency and user experience.
A senior SRE builds and maintains MongoDB’s secure, multi-cloud network infrastructure, focusing on service mesh, load balancing, and global connectivity to ensure reliable service-to-service communication.
Designs and maintains MongoDB's secure, multi-cloud network infrastructure, including Kubernetes, service mesh, and edge load balancing, ensuring global service reliability and data transit security.
Designs and improves MongoDB's core query execution engine, turning logical plans into high-performance C++ code for distributed database workloads.
Designs and builds secure, high-performance networking services in Rust to harden MongoDB's pre-authentication attack surface, collaborating with cross-functional teams to improve security posture.
Leads high-impact engineering programs at MongoDB, coordinating cross-functional teams to deliver cloud-native database features while driving technical and business outcomes.
Leads reliability-focused programs for MongoDB’s cloud platform, coordinating SRE teams and cross-functional partners to improve production stability and launch readiness.
Leads reliability-focused programs for MongoDB’s cloud platform, coordinating SRE teams and cross-functional partners to improve production stability and scalability using observability and cloud-native tools.
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