Forward Deployed Engineer, Industry Solutions

Mongodb·Torontosenior

In short

→Ingeniero aplicado que se integra directamente con equipos de ISVs para construir integraciones con MongoDB.
→Diseña y codifica soluciones de migración, coexistencia y escalabilidad en entornos productivos con múltiples bases de datos.
→Requiere viajes frecuentes y trabajo presencial con partners durante fases clave del proyecto.

Fluency in English is required for collaboration with global teams.

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What they ask for

✓5+ años de experiencia en ingeniería backend en producción
✓Experiencia sólida con MongoDB (modelado, consultas, transacciones, streams)
✓Conocimiento profundo de al menos una base de datos relacional
✓Capacidad para integrar bases de datos en códigos grandes y complejos
✓Experiencia en migraciones de carga de trabajo con dual-write o CDC
✓Habilidades para trabajar en entornos distribuidos y colaborar con equipos remotos

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

MongoDBRelational DatabasesChange Data Capture (CDC)Dual WritesAggregationIndexingTransactionsChange StreamsQuery PlanningORMs

Who should you write to at Mongodb?

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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. To support this growth, we are expanding our Industry Solutions Team (IST), a flexible, globally distributed organization that helps customers and partners modernize applications and data platforms with MongoDB. As a Forward Deployed Engineer in our Industry ISV Practice, you will work directly with independent software vendors (ISVs) and their engineering organizations to build MongoDB capabilities into their products. You will work in the partner’s codebase, languages, engineering practices, and release process to deliver production-ready integrations, migrations, and product capabilities. The solutions you help build should leave the partner with maintainable code and knowledge, while creating reusable patterns that can accelerate future partner engagements. This is a hands-on application engineering role. You will spend time understanding existing products built on relational databases, designing practical MongoDB approaches, writing production code, and working alongside partner engineers through implementation and rollout. The role requires regular travel and time on-site with ISV partners during key phases of the engagement. Learn more about #LifeAtMongoDB here ! This role will be based remotely in Toronto. What you’ll do at MongoDB In this role, you will: • Embed with ISV engineering teams, adapting to their codebase, practices, release cadence, and constraints while understanding their product architecture, industry context, data model, and deployment environment • Design and build MongoDB-backed product capabilities, including integrations, data models, indexes, queries, persistence layers, migration tooling, and support for MongoDB alongside relational database editions • Design and implement coexistence and migration solutions, including synchronization, change data capture (CDC), dual writes, consistency, application refactoring, validation, and controlled cutover • Design and validate production-ready solutions for performance, scalability, resilience, observability, security, and operational readiness across MongoDB Atlas, Enterprise Advanced, Kubernetes-based private clouds, and self-managed or restricted on-premises environments • Enable partner engineers through collaborative development, code reviews, documentation, and knowledge sharing, while working with internal technical teams to resolve design questions and establish support boundaries • Capture reusable implementation patterns, tooling, product gaps, and lessons learned to accelerate future partner engagements As an ideal candidate, you will have • 5+ years of hands-on backend engineering experience building and operating production applications • Strong application-side expertise with MongoDB, including data modeling, access patterns, aggregation, indexing, transactions, change streams, and a clear understanding of query and transaction semantics • Application-level fluency with at least one major relational database, including relational data modeling, access patterns, database drivers or ORMs, indexing, transactions, query planning, and transaction-isolation assumptions • Experience integrating a new database into a large production codebase and migrating production workloads, including persistence abstractions, data synchronization, dual-write or CDC patterns, application refactoring,

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