The opportunity
MongoDB is the modern database platform and consistently voted the #1 most wanted database , preferred by developers. MongoDB continues to attract the most demanding and innovative companies and development teams in enterprise software.
What you'll do
Lead technical design for ISV engagements by understanding partner: architecture and delivery models, then defining MongoDB data models, access patterns, indexing, and integration approaches for products serving different industries
Design MongoDB as a supported platform option alongside Oracle, PostgreSQL,: or SQL Server, including persistence abstractions, feature parity, backend-specific behavior, and certification requirements
Design coexistence architectures and migration paths, including data flows,: synchronization, consistency, application refactoring, dual-run strategies, validation, and controlled cutover
Lead design reviews, provide technical direction, and review schemas,: queries, indexes, MongoDB-related code, and performance against realistic partner workloads
Design solutions across MongoDB Atlas, Enterprise Advanced, Kubernetes-based: private clouds, and self-managed or air-gapped on-premises environments
Build reusable architecture patterns, migration playbooks, code templates,: decision frameworks, and other assets that make future partner engagements faster and more consistent
What they're looking for
- Stay hands-on by reading partner code and prototyping critical paths, act as: the technical escalation point for Forward Deployed Engineers, and share recurring technical gaps and patterns with MongoDB Product and Engineering teams
- + years of experience in backend engineering and application architecture,: delivering production software products
- Strong application-side MongoDB expertise, including access-pattern-driven: data modeling, aggregation, indexing, transactions, change streams, replication, sharding, and sizing
- Application-level experience with at least one major relational database and: integrating a new database into a large production codebase, including persistence abstraction, data synchronization, dual-write or CDC patterns, transactional boundaries, and incremental rollout
