Senior Software Engineer, Forward Deployed AI Engineer
On this page
TechJobs.ie Job Insights
At a glance
Technologies & skills
What you'll be doing
Join MongoDB's Forward Deployed Engineering team in Dublin to drive application modernization for enterprise clients. Collaborate with customers and internal teams to evaluate, build, and apply generative AI and modernization tools, influence product direction, and support migration to MongoDB.
- Contribute to customer application modernization initiatives across all phases of the application lifecycle
- Test drive MongoDB migration products and deliver feedback to development teams
- Work closely with Product and Engineering teams to influence the product roadmap
- Execute POCs, developing or extending tools for customer success
- Maintain broad and deep technical understanding of product line and technologies
- Collaborate with consulting engineers, 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, including regional travel
Key requirements
Must-have
- 4+ years as a field engineer, professional services consultant, or full stack developer with enterprise clients
- Proficiency in Java or C#
- Familiarity with database access patterns and frameworks in Java or C#
- Strong knowledge of enterprise-scale software architectures and methodologies
- Experience developing enterprise applications using relational databases and SQL
- Problem solving skills and ability to collaborate across teams
- Great communication skills, both spoken and written
- Good understanding of Generative AI concepts, tools, and services
Nice-to-have
- Experience with MongoDB and JSON-based document models
- Experience building applications/tools using Generative AI (e.g., Cursor, Claude Code, Gemini, OpenAI APIs)
Experience: 4+ years
Role signals
- Technical focus
- application modernization, generative AI, database migration
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
Similar jobs
Full job description
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
-
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
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 75% of the Fortune 100 and AI-native startups, 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: 4263294981
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
You will drive enterprise application modernization using MongoDB and generative AI, collaborating with customers and internal teams to evaluate, build, and deploy modernization tools, influence product direction, and deliver technical solutions for complex migration projects.
- Application modernization·High
- Generative AI tooling·High
- Enterprise client collaboration·High
- MongoDB expertise·High
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review MongoDB and Migration Tools
0–8 minRefresh your knowledge of MongoDB, its migration products, and JSON document modeling. Focus on practical migration steps.
Summarize Modernization Project Experience
8–15 minList key modernization projects, challenges faced, and your solutions. Prepare concise stories for interview questions.
Explore Generative AI APIs
15–23 minCheck documentation and use cases for OpenAI, Gemini, and Claude Code APIs. Note any relevant hands-on experience.
Prepare Collaboration and Feedback Examples
23–30 minRecall times you worked with cross-functional teams and provided feedback that influenced outcomes.
Talking points
, 6 itemsApplication Modernization Strategies
You will guide customers through modernizing legacy systems, so understanding best practices and challenges is essential.
MongoDB and Document Data Models
Deep expertise in MongoDB and JSON-based models is central to the role and required for migrations and tool development.
Generative AI Tools and APIs
You will evaluate, build, and apply generative AI tools (e.g., OpenAI, Gemini, Claude Code) to accelerate modernization.
Enterprise Software Architectures
You must assess and transform large-scale enterprise applications, requiring strong architectural knowledge.
Relational Databases and Migration Patterns
Experience with SQL, stored procedures, and major RDBMS is needed for migrating workloads to MongoDB.
Cross-functional Collaboration
You will work with customers, product, engineering, and sales teams, making collaboration skills vital.
What to research
, 3 itemsApplication Modernization with MongoDB
Expect deep questions on your experience modernizing enterprise applications, especially migrating from relational databases to MongoDB and adopting microservices.
Generative AI Tooling in Modernization
Be ready to discuss how you've evaluated, built, or integrated generative AI tools to accelerate application modernization.
Cross-functional Collaboration and Feedback
Prepare to demonstrate how you work with customers, engineering, and product teams to deliver solutions and influence the product roadmap.
Questions to ask
, 6 itemsHow does the Forward Deployed Engineering team collaborate with Product and Engineering on shaping the roadmap?
Why ask this? Clarifies your influence on product direction and cross-team dynamics.
What are the most common challenges customers face during application modernization projects?
Why ask this? Helps you understand the real-world problems you'll address.
Which generative AI tools or APIs have proven most effective in recent modernization projects?
Why ask this? Reveals the team's current technology stack and priorities.
How is success measured for Forward Deployed Engineers at MongoDB?
Why ask this? Gives insight into performance expectations and growth.
What opportunities exist for professional development in AI and database technologies?
Why ask this? Shows the company's commitment to your ongoing learning.
How often do team members travel to customer sites, and what support is provided for these engagements?
Why ask this? Clarifies travel expectations and logistical support.
Register now to upload your CV
Create a free account, save a PDF or Word CV, and quick apply on roles that take applications here.