Forward Deployed Engineer, Industry Solutions
MongoDB is hiring a Forward Deployed Engineer, Industry Solutions in Gurugram, India. Level rates it ; you can apply on MongoDB.
Level's read on this job
- Level rates this forward deployed engineer role Little AI ●○○○: aI is not part of the work.
- The posting mentions Kubernetes, Atlas and Change Data Capture among its tools and skills.
- Level classes it as a senior role.
- MongoDB has 357 other open roles on Level.
AI in this role
Embed with engineering teams to build MongoDB-backed product capabilities, integrations, and migration solutions.
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.
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
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, 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 -3273528250
How we rate this
Forward Deployed Engineer, Industry Solutions at MongoDB rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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Skills and AI tools this role asks for
Pay
- Typical forward deployed engineer job
- $180k
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Questions you could be asked
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where backend was part of your work. What did you do?
- Tell me about a project where database design was part of your work. What did you do?
- Tell me about a project where migration was part of your work. What did you do?
- Tell me about a project where code review was part of your work. What did you do?
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- List these exact terms on your resume: Software Engineering, Backend, Database Design, Migration, and Code Review. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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