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About the role
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.
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
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, 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, 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, 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: $158,000—$220,000 CAD
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati