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 out of North America.
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 servicesCollaborate effectively with Product Management, other engineers, and designers to build and deliver on the product roadmapParticipate actively in code reviews to enforce best practices and patternsHelp troubleshoot and resolve complex technical issues in our distributed systemsGive and solicit feedback on technical design documents and pull requestsPerform tasks related to process such as CI / CD, quality, testing, etcSuccess Measures
Within the first three months, you will have :
Familiarize yourself with the MongoDB database and aggregation languageFamiliarize yourself with the backend tech stack including Java, Spring Boot, and KafkaSet up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacksStarted collaborating with your peers and contributed to code reviewsWithin six months, you will have :
Familiarised yourself with the rest of our the application modernization tool stackDelivered at least one large scale feature that spans the entire tech stackReviewed and contributed to scope and technical design documentsWithin 12 months, you will have :
Become a key contributor to our backend stack, capable of taking on complex features independentlyHelped recruit and interview new members of the teamCollaborated effectively with other teams at MongoDB on cross-functional projectsAbout 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 guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.