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.

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

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.

Our ideal candidate will have

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

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

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

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

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

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

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

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

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

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