MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB is building a world-class team in India to create tooling that helps customers migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise their application and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Data Migration team are critical in this journey, helping customers with schema modeling, initial data loads, and continuous data synchronization. We are looking for an experienced Senior Software Engineer with experience in the Java ecosystem, streaming systems, and data-intensive applications to join our team. We are building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React. A successful candidate will be a key contributor to our backend services, collaborating closely with product management and other engineers to design and implement cutting-edge products that solve complex customer challenges. This role will be based in our India office in Gurugram and offers a hybrid working model. **The ideal candidate for this role will have** + 6+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem + Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium + Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) + Exposure to client-side technologies such as JavaScript and React is a plus + 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 backend code to the data migration engine 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: + Familiarised yourself with the MongoDB database and aggregation language + Familiarised yourself with the backend tech stack including Java, Spring Boot, and Kafka + 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 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 backend 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 **Life at 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 (https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb) , 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 (https://www.mongodb.com/blog/channel/culture) , 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: 425548_