Software Engineer 3
AI in this role
Build automated validation frameworks and integrate LLMs into developer workflows for legacy application modernization.
The Application Modernization Platform (AMP) team is dedicated to solving one of the industry's biggest challenges: transforming rigid, legacy applications that suffer from poor scalability and high operating costs into modern, microservices-based architectures on MongoDB. To accelerate this transition, MongoDB is building a dedicated Platform and Infrastructure team to develop the Application Modernisation Platform and Infrastructure . As we help customers modernize their application and data ecosystems, we face the challenge of deploying complex tooling into highly restrictive client environments and architecting automated verification frameworks to ensure data equivalence.
This new team will architect the platform foundation and infrastructure that enables a "build once, run anywhere" model, ensuring our AI-powered modernisation suite operates seamlessly regardless of a client's security or network constraints. We are looking for engineers to join this high-visibility initiative, where you will solve unique distributed systems puzzles and help shape the future of how global enterprises leverage data and AI.
We are looking for an experienced Software Engineer who thrives on solving infrastructure constraints and building developer-centric modernisation platforms with a strong background in building software testkits/frameworks. The ideal candidate will be designing and building automated frameworks that validate functional equivalence, performance benchmarks, and data integrity. From leveraging LLMs for unit test generation to building contract testing frameworks, your work will be the safety net for the world’s largest enterprise migrations.
This role will be based in our India office in Gurgaon and offers a hybrid working model.
The ideal candidate for this role will have
- 3-4 years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
- Expertise integrating Large Language Models (LLMs) into the developer workflow to automate unit test generation and edge-case discovery
- Experience building developer tools, infrastructure, or complex testing frameworks
- Solid experience in software architecture and development
- Deep expertise in application/database modernization with proven ability to design and implement frameworks that ensure database state equivalence across different implementations
- Must understand change data capture, event-driven database interception (MongoDB listeners, RDBMS triggers), and state comparison algorithms with pattern-based exclusions. Strong Spring Boot (or equivalent Java framework), MongoDB (or equivalent), and JDBC/JPA skills required
- Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB)
- Good understanding of algorithms, data structures and their time and space complexity
- Curiosity, a positive attitude, and a drive to continue learning
- Excellent verbal and written communication skills
Position Expectations
- Contribute high-quality, well-tested code to the modernization and framework team and its surrounding services
- Collaborate effectively with Product Management, other engineers, and designers to build and deliver on the product roadmap
- Participate actively in code reviews to enforce best practices and patterns
- Help troubleshoot and resolve complex technical issues in our distributed systems
- Give and solicit feedback on technical design documents and pull requests
- Perform tasks related to process such as CI/CD, quality, testing, etc
Success Measures
Within the first three months, you will have:
- Familiarize yourself with the MongoDB Modernization Infrastructure & Frameworks stack
- Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
- Started collaborating with your peers and contributed to code reviews and design reviews
Within six months, you will have:
- Familiarised yourself with the rest of our the application modernization tool stack
- Delivered at least one large scale feature that spans the entire tech stack
- Reviewed and contributed to scope and technical design documents
Within 12 months, you will have:
- Become a key contributor to our stack, capable of taking on complex features independently
- Helped recruit and interview new members of the team
- Collaborated effectively with other teams at MongoDB on cross-functional projects
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.
Requisition ID : 426463
How we rate this
Software Engineer 3 at MongoDB rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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. Open the description and count.
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- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
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- Tell me about a project where application modernization was part of your work. What did you do?
- Walk me through how you've used Java in your day-to-day work.
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- List these exact terms on your resume: Software Engineering, Distributed Systems, Test Automation, Application Modernization, and Java. 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.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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