---
title: 'Forward Deployed Engineer, Industry Solutions at MongoDB'
canonical: 'https://feeny.ai/job/forward-deployed-engineer-industry-solutions-mongodb-toronto-nztqtcf2syke'
type: 'job'
last_seen: '2026-10-18'
---

# Forward Deployed Engineer, Industry Solutions at MongoDB

- **Company:** MongoDB
- **Location:** Toronto, Canada
- **Compensation:** $125k–$220k
- **Posted:** 2026-09-16
- **Last confirmed live:** 2026-10-18
- **Apply:** https://www.mongodb.com/careers/job/?gh_jid=8153137

## Job description

MongoDB is the modern database platform and consistently voted the [#1 most wanted database](https://www.mongodb.com/blog/post/stack-overflow-research-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](https://www.mongodb.com/blog/post/transitioning-teacher-mongodbs-new-enterprise-modernization-team-meet-gabriela-preiss) (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](https://www.mongodb.com/blog/channel/culture)!

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, validation, and incremental rollout
- Strong coding ability in at least two languages such as Java, C#/.NET, Node.js/TypeScript, Python, or Go, plus experience with APIs, distributed systems, containers, and cloud or self-managed deployment environments
- Experience with SaaS and product engineering, including multi-tenancy, tenant isolation, versioned schemas, and backward compatibility, together with the ability to work effectively in unfamiliar codebases and explain technical trade-offs clearly
- Willingness to spend significant time on-site with ISV partners and travel within the region

As an ideal candidate, you may also have

- Experience working for or with an ISV, or in a forward-deployed, embedded, resident-engineer, or partner-engineering role
- Familiarity with event-driven and microservices architectures and technologies such as Kafka, as well as performance engineering, observability, resilience, or production-readiness reviews
- Exposure to security and compliance requirements for ISVs serving regulated industries
- Experience creating reusable tooling, reference implementations, integration components, or technical documentation, along with MongoDB certification, Atlas experience, or familiarity with MongoDB’s broader product portfolio

## What you will learn

- Gain practical experience modernizing applications and delivering MongoDB solutions for partner products across different industries, including coexistence and migration scenarios in cloud-native environments, while developing reusable patterns and your technical and communication skills
- Broaden your perspective on how data-intensive products evolve and develop the judgment to translate diverse product and operational requirements into practical MongoDB solutions

## About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our [Leadership Commitment,](https://www.mongodb.com/company) guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. [From employee affinity groups, to fertility assistance and a generous parental leave policy](https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb), we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.[Learn more about what it’s like to work at MongoDB](https://www.mongodb.com/blog/channel/culture), and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req. ID: 3273528254 AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.

MongoDB’s base salary range for this role in Canada is: $125,000—$220,000 CAD

## About MongoDB

## Company Overview
- **One-liner**: MongoDB provides a modern, multi-cloud data platform that enables organizations to build, deploy, and run data-intensive applications at scale.
- **Entity Type**: Public (NASDAQ: MDB)
- **Headquarters**: New York, USA
- **Founded**: 2007 (as 10gen; renamed MongoDB in 2013)
- **Founders**: Dwight Merriman, Eliot Horowitz, Kevin Ryan

## Core Business
- **Primary industry**: Database software and data platform (document-oriented NoSQL, multi-cloud, AI‑ready)
- **Target customers**: B2B – enterprises, SMBs, and individual developers; also B2C via embedded applications
- **Mission**: “Unleash the power of software and data” [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]

## Products & Services
- **MongoDB Atlas** – Fully managed, multi-cloud database service (AWS, Azure, GCP) with built‑in analytics, serverless, and vector search capabilities. [[mongodb.com](https://www.mongodb.com/)]
- **MongoDB Enterprise Advanced** – Self‑managed database for on‑premises or private cloud deployments, with enterprise‑grade security and support.
- **MongoDB Community Server** – Free, open‑source document database for development and small‑scale production.
- **MongoDB Atlas Search & Vector Search** – Integrated search and AI‑driven vector capabilities on the same data platform.
- **MongoDB Realm / Device Sync** (legacy) – Mobile and edge data synchronization (superseded by Atlas Device SDKs).

## Market Standing
- **Valuation/Market Cap**: Not publicly available from provided sources (publicly traded; refer to stock exchange data).
- **Key Metric**: Annual revenue – reported in SEC filings (10‑K for fiscal year ended January 31, 2025) [[investors.mongodb.com](https://investors.mongodb.com/static-files/2e35ada9-36d6-4ea2-a03a-bbba3b559770)].
- **Notable Investors/Partners**: 1,000+ technology and service partners; over 67,000 customers across industries [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)].
- **Growth Signals**:
  - 5,550 total employees (as of mid‑2026) [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)]
  - 175,000+ builders (developers) joining the platform every month [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]
  - Named “Best Place to Work in 2026” by Built In (Large Companies) [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)]
  - Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Cloud Database Management Systems (4th consecutive year) [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]

## Competitive Advantages
- **Document model flexibility** – Schema‑less design allows rapid iteration and handling of diverse data types.
- **Multi‑cloud native** – Same developer experience across AWS, Azure, and GCP, reducing lock‑in.
- **Developer‑centric ecosystem** – Rich drivers, tools (Compass, Shell, VS Code extension), and a large community.
- **AI‑ready platform** – Native vector search and retrieval‑augmented generation (RAG) capabilities for generative AI workloads.
- **Strong partner & customer base** – Thousands of partners and a massive installed base (67k+ customers) create network effects.

## Strategic Focus
- **AI and vector workloads** – Deepening support for AI/ML use cases (vector search, RAG, Atlas for generative AI).
- **Hybrid and flexible work** – Offering in‑office, flexible (1–2 days per week), fully remote, and customer‑facing remote models to attract top talent [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Sustainability** – Reducing waste and carbon footprint (e.g., 58% waste reduction in FY24, 100% LED office lighting) [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)].
- **Developer education & ecosystem growth** – Expanding free tier, certifications, and community programs to drive platform adoption.

## Why Work Here
- **Culture & values**: Guided by principles like “Build Together,” “Make it Matter,” “Own What You Do,” and “Be Intellectually Honest” [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Inclusion**: Active Diversity, Equity & Inclusion programs and Employee Resource Groups (e.g., Veterans ERG) [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Flexible work models**: Options for in‑office, flexible hybrid, fully remote, and customer‑facing remote; 14 offices globally [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)].
- **Benefits**: Competitive compensation, plus benefits across four pillars – physical, emotional, financial, and family & community [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Career growth**: Leadership development programs, mentorship for students/graduates, and a “think big, go far” ethos.

## Sources
1. [MongoDB Careers Page](https://www.mongodb.com/company/careers)
2. [MongoDB About Page](https://www.mongodb.com/company?jmp=footer)
3. [MongoDB Homepage](https://www.mongodb.com/)
4. [MongoDB 10‑K (March 2025)](https://investors.mongodb.com/static-files/2e35ada9-36d6-4ea2-a03a-bbba3b559770)
5. [MongoDB Culture on Built In](https://builtin.com/company/mongodb/faq/culture-values)

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