MongoDB

Join the MongoDB Server Query team, and help us build a world-class distributed open source query engine. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, from parsing to optimization to plan selection and finally execution. This also includes our geospatial search and update subsys

MongoDB’s Replication Team builds the infrastructure that enables high availability, fault tolerance, automatic failover, and tunable consistency. As a Senior Engineer on the team, you will design and implement distributed-systems features that protect data and keep applications available under demanding operating conditions. You will work primarily in C++ on core database code, partner with engin

The Workload Resilience team is focused on improving the availability of MongoDB through solutions in the data plane. We build out the core server workload management infrastructure so that MongoDB can properly queue, load shed, and make decisions to stabilize performance during situations where system resources are beginning to become constrained. We are the team behind the recent release of Intel

Design, develop, and maintain automated testing frameworks for the MongoDB query engine.Build performance-automated tests, high-volume workload-generation tools, and internal tooling.Collaborate with engineers to ensure new query features are testable and covered across happy-path and edge-case scenarios.Develop testing strategies involving end-to-end testing, fuzzing, property-base

The Atlas API Experience (APIx) teams are part of MongoDB Atlas Data Services, a diverse group of individuals who develop the capabilities to run MongoDB globally (see MongoDB Atlas). Our software and services allow users to deploy fault-tolerant, scalable, globally distributed MongoDB clusters in minutes. APIx’s mission is to craft delightful experiences for developers of all levels onboarding and

About the team MongoDB Technical Services Engineers will combine exceptional problem solving and communication skills with deep technical experience to advise customers and solve complex MongoDB problems. They are experts in components of the MongoDB ecosystem - database server, drivers, our management suite, and services such as Cloud Manager (the online product we developed for customers for au

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasone

Harden Linux hosts and containerized workloads using AppArmor, SELinux, seccomp, cgroups, and eBPF-based tooling.Secure multi-cloud container infrastructure with RBAC, network policies, admission controls, and runtime threat detection.Build and manage automated services for cloud security posture management, workload identity, vulnerability management, and access controls across AWS

Lead the evolution of internal security assessment processes using AI-based analysis and automation.Conduct deep-dive penetration tests and security assessments, including architecture reviews, threat modeling, static and dynamic code analysis, and exploit verification.Research, prototype, and execute new attack vectors and techniques.Collaborate with engineering teams to advocate s

Harden Linux hosts and containerized workloads using AppArmor, SELinux, seccomp, cgroups, and eBPF-based tooling.Secure multi-cloud container infrastructure with RBAC, network policies, admission controls, and runtime threat detection.Build and manage automated CSPM, workload identity, vulnerability management, and access-control services across AWS, Azure, and GCP.Write production-

Design performance and benchmarking workloads based on realistic customer or product scenarios.Build and improve internal tooling, test harnesses, automation, and reusable workload components.Write and maintain code primarily in Python.Run benchmarks across cloud environments and database platforms while managing fairness, noise, cost, and repeatability.Analyze latency, throughput,

Design, build, and deliver core components of the Atlas Stream Processing execution engine.Shape system architecture, development practices, and escalation policies as the team and product grow.Design, write, test, debug, and performance-tune distributed and highly concurrent software.Identify problems, implement solutions, and deliver complex database or distributed-systems project

Improve MongoDB networking and observability functionality and code.Lead medium-sized networking or observability projects from technical design through delivery.Collaborate with colleagues and cross-team stakeholders across ideation, requirements gathering, design, execution, and delivery.Contribute production code, fix release bugs, review code, and participate in new-feature desi

Improve the functionality, performance, availability, scalability, and robustness of MongoDB networking and observability systems.Build low-overhead observability features and enhance observability frameworks.Lead medium-sized networking or observability projects from technical design through delivery.Collaborate with cross-team stakeholders throughout ideation, requirements gatheri

We’re looking for a Software Engineer 3 to help bring Voyage’s embedding models - used for semantic search, retrieval, and AI-native experiences; to the platforms and environments where customers already run their workloads, beyond first-party MongoDB Atlas. You’ll join the broader Search and AI Platform organization and collaborate closely with the engineers building Voyage’s first-party infere