Jobs
Benefits & Perks
•Equity
•Parental Leave
•Fertility Assistance
•Equity
•Parental Leave
Required Skills
Java
Spring Boot
MongoDB
JDBC/JPA
SQL
Testing frameworks
LLMs
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 Gurugram for our hybrid working model.
The ideal candidate for this role will have
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2-3 years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
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Experience integrating Large Language Models (LLMs) into the developer workflow to automate unit test generation and edge-case discovery
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Experience building developer tools, infrastructure, or complex testing frameworks
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Solid experience in software architecture and development
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Experience in application/database modernization with proven ability to design and implement frameworks that ensure database state equivalence across different implementation
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Must understand change data capture, event-driven database interception (MongoDB listeners, RDBMS triggers), and state comparison algorithms with pattern-based exclusions
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Strong Spring Boot (or equivalent Java framework), MongoDB (or equivalent), and JDBC/JPA skills required.
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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)
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Good understanding of algorithms, data structures and their time and space complexity
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Curiosity, a positive attitude, and a drive to continue learning
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Excellent verbal and written communication skills
Position Expectations
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Contribute high-quality, well-tested code to the modernization and framework team and its surrounding services
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Collaborate effectively with Product Management, other engineers, and designers to build and deliver on the product roadmap
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Participate actively in code reviews to enforce best practices and patterns
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Help troubleshoot and resolve complex technical issues in our distributed systems
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Give and solicit feedback on technical design documents and pull requests
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Perform tasks related to process such as CI/CD, quality, testing, etc
Success Measures
Within the first three months, you will have:
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Familiarize yourself with the MongoDB Modernization Infrastructure & Frameworks stack.
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Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
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Started collaborating with your peers and contributed to code reviews and design reviews.
Within six months, you will have:
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Familiarised yourself with the rest of our the application modernization tool stack
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Delivered at least one large scale feature that spans the entire tech stack
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Reviewed and contributed to scope and technical design documents
Within 12 months, you will have:
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Become a key contributor to our stack, capable of taking on complex features independently
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Helped recruit and interview new members of the team
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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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 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.
Requisition ID
426114
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About MongoDB

MongoDB
PublicMongoDB, Inc. is an American software company that develops and provides commercial support for the source-available database engine MongoDB, a database for unstructured data.
5,000+
Employees
New York
Headquarters
$24.0B
Valuation
Reviews
3.7
2 reviews
Work Life Balance
3.0
Compensation
2.0
Culture
3.0
Career
2.5
Management
3.5
25%
Recommend to a Friend
Pros
Practical experience with Node.js and MongoDB
Learning NoSQL database management
Web scraping experience
Cons
Poor application performance (5+ second response times)
Difficult job market with low interview rates
Unpaid internship opportunities
Salary Ranges
0 data points
Junior/L3
L3
L4
L5
L6
Senior/L5
Staff/L6
Director
Junior/L3 · Associate Product Manager
0 reports
$137,500
total / year
Base
-
Stock
-
Bonus
-
$116,875
$158,125
Interview Experience
10 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 80%
Negative 20%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview
4
Final Round/Onsite
5
Offer Decision
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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