Software Engineer 3

MongoDB is building a world-class team in India to create tooling that helps customers verify their application and data modernizations. As companies modernize their application and data ecosystems, ensuring functional equivalence and performance is paramount. The tools developed by the Modernization Testing and Verification team are critical in this journey, helping customers with automated testing, functional equivalence, and performance validation by creating frameworks for contract testing, database state-based testing, and leveraging LLMs for unit test generation.

We are looking for an experienced Software Engineer with a strong background in building software testkits/frameworks. You will lead a talented team building a complex product suite using a modern stack. 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.

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

The ideal candidate for this role will have

• 4+ years of commercial software development experience with at least JVM language such as Java, preferably using the Spring ecosystem
• Proven experience evaluating Large Language Models (OpenAI, Anthropic, open-weights, etc.)
• Familiarity with evaluation frameworks (DeepEval, Ragas, Promptfoo) and LLM-as-a-judge concepts
• Experience integrating Large Language Models (LLMs) into the developer workflow to automate unit test generation and edge-case discovery
• Experience curating "golden datasets," adversarial test sets, and establishing scoring rubrics to test LLM accuracy, safety, and relevance
• Experience building developer tools, infrastructure, or complex testing frameworks
• Solid experience in software architecture and development
• Experience 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
• Experience with relational and document data modeling and hands-on experience with at least SQL database (Postgres, MySQL, etc) and at least 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 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 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 - 3273532211

• 4+ years of commercial software development experience
• Experience with at least JVM language such as Java, preferably using the Spring ecosystem
• Proven experience evaluating Large Language Models (OpenAI, Anthropic, open-weights, etc.)
• Familiarity with evaluation frameworks (DeepEval, Ragas, Promptfoo) and LLM-as-a-judge concepts
• Experience integrating LLMs into the developer workflow to automate unit test generation and edge-case discovery
• Experience curating golden datasets, adversarial test sets, and establishing scoring rubrics
• Experience building developer tools, infrastructure, or complex testing frameworks
• Solid experience in software architecture and development
• Experience in application/database modernization, including change data capture and event-driven database interception
• Experience with relational and document data modeling
• Hands-on experience with at least SQL database (Postgres, MySQL) and at least document database (MongoDB)
• Good understanding of algorithms, data structures and their time and space complexity
• Excellent verbal and written communication skills