Senior Software Engineer (Forward Deployed AI Engineer)

MongoDB is looking for an outstanding person to join our newly created Forward Deployed Engineering team and take on a key role in our extended R&D organization

Forward Deployed Engineering is linking the work of teams engaged on application modernization roles with our Product and Engineering teams

Many organizations have built up large estates of legacy applications

Lack of scalability and resilience, long development times, operating cost, and inability to run on cloud are common issues with these applications

To address these issues, organizations are engaging in large transformational Application Modernisation programs

MongoDB is recognized as the developer data platform of choice for transactional systems that provide the best scalability, resiliency and developer experience in the cloud as well as on premises

Organizations are continuously migrating workloads from these legacy applications to new platforms, often based on microservices, using MongoDB

Such transformations are time intensive and often risky

Tooling based on generative AI promises to accelerate these transformations in a way never seen before

Forward Deployed Engineering is responsible for exploring the possibilities of Generative AI technologies and providing invaluable feedback to MongoDB’s R&D teams to drive future capabilities of MongoDB and the MongoDB ecosystem

Application Modernization Engineers will work alongside project teams that are executing Application Modernisation projects with customers

The successful candidate will be responsible for evaluation, build, and applying tools in modernization projects, facilitating the usage of such tools and processes across the different project teams, identifying opportunities for tooling deployment, selecting potential 3rd party tools, contributing to the development of tooling prototypes and helping to shape the product roadmap

Position Expectations

Contribute to customer application modernization initiatives at any or all phases of the application lifecycle: assessment and analysis; planning and design; data modeling; application code conversion, development, test and build; integration and release configuration, production operations, application optimisation, and best practices adoption

Test drive MongoDB migration products to deliver on customer use cases and drive adoption of the product. Deliver concise feedback to the rest of the development organisation

Work closely with Product and Engineering teams to influence the direction of the MongoDB product roadmap

Personally execute POCs including developing or extending existing tools when necessary and appropriate for customer success, with an eye towards reusability and eventual integration with our products. These are often on premises at client locations

Maintain a broad and deep technical understanding of the product line and the underlying technologies and protocols

Work as part of a wider delivery team comprising consulting engineers from MongoDB Professional Services, project managers, and account teams

Assist sales teams in evaluating opportunities with prospects and customers

Willingness to work on site with customers for 7 days per month, which includes regional travel (within Europe)

Success Measures

The Senior Forward Deployed Engineer will be successful in this role when they can execute the following strategic tasks/responsibilities:

Become an expert level user of MongoDB, and our tools current migration products

Develop a playbook for customer application modernization engagements, in collaboration with other MongoDB Engineers, Product Management and Engineering

Communicate complex technical proposals simply and convincingly to a wide range of audiences

Provide unique insight into customer needs, product requirements and strategic opportunities by contributing experience from the field

Gain the reputation as a trusted advisor with our field teams and customers

Contribute to the success of customer application migration initiatives that they support

Good understanding of Generative AI concepts, tools, and services. Any experience to build new applications/tools using Generative AI is a big plus. That includes Cursor, Claude Code, Gemini, and OpenAI APIs

Experience developing enterprise applications using relational databases, and employing SQL and stored procedures with Oracle, MS SQL Server, Sybase and/or PostgreSQL databases

Great communication skills (both spoken and written), within the team and in customer meetings

Strong knowledge about enterprise-scale software architectures, application development methodologies, and software deployment and operations

Willingness to dive into a complex domain, ask the right questions, and bring new software tools and technologies to the table to solve customer problems

And finally, a strong interest in how AI supported toolchains can improve application development

4+ years of experience as a field engineer or professional services consultant or full stack developer working directly with Enterprise clients

Proficiency in Java or C#, and some familiarity with common database access patterns and frameworks in one or more of these languages

Experience of using and developing with MongoDB and JSON based Document models is highly desirable

Problem solving skills, including the ability to collaborate across disciplines and teams to come up with creative solutions to technical and business challenges