MongoDB
Senior Software Engineer, Data Migration
3 days ago Be among the first 25 applicants
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.
Ideal Candidate
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:
Familiarize yourself with the MongoDB database and aggregation language
Familiarize 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
Start 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
EEO Statement MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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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.
Ideal Candidate
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:
Familiarize yourself with the MongoDB database and aggregation language
Familiarize 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
Start 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
EEO Statement MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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