Senior Software Engineer, Data Migration

Senior Software Engineer, Data Migration

Join us at MongoDB to help build a sophisticated data migration suite using Java, Spring Boot, Kafka, Debezium, and React. This role will be based out of North America.

• 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 processes such as CI/CD, quality, and testing

• 6+ years of commercial software development experience, with at least one JVM language such as Java and preferably using the Spring ecosystem
• Extensive experience with streaming data platforms such as Apache Kafka and CD practices like Debezium
• Extensive experience with relational data modeling and hands‑on knowledge of 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

• Contribute high‑quality 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 processes such as CI/CD, quality, and testing

• Within the first three months: Familiarize yourself with the Mongo
  
  DB database and aggregation language; learn the backend tech stack including Java, Spring Boot, and Kafka; set up development infrastructure; begin collaborating with peers and contributing to code reviews.
• Within six months: Familiarize yourself with the rest of the application modernization tool stack; deliver at least one large‑scale feature that spans the entire tech stack; review and contribute to scope and technical design documents.
• Within 12 months: Become a key contributor to our backend stack, capable of taking on complex features independently; help recruit and interview new members of the team; collaborate effectively with other teams at Mongo
  
  DB on cross‑functional projects.

Mongo

DB 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. Mongo

DB’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, Mongo

DB Atlas, is the only globally distributed, multi‑cloud database available across AWS, Google Cloud, and Microsoft Azure.

Mongo

DB 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.

Mongo

DB, 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.

Compensation
:
Mongo

DB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and depends on skill set, experience, qualifications, and work location. Salary is part of Mongo

DB’s total compensation and benefits package. Other benefits for eligible employees may include equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully‑paid gender‑neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender‑inclusive health insurance coverage, and health benefits offerings. Salary range listed below is only applicable to U.S.‑based candidates.

Mongo

DB’s base salary range for this role in the U.S. is:
$118,000—$231,000 USD