Software Engineer, Data Migration

MongoDBSan Francisco, CA
20h

About The Position

MongoDB is expanding a development team in North America working on tooling that helps customers migrate data from relational databases to MongoDB. Tools developed by the Data Migration team help application developers with schema modeling, type conversions, data sync, change data capture and so on. MongoDB is looking for a software engineer with experience in the Java ecosystem and streaming systems to join the team. Our main technology stack includes Java, Spring Boot, Apache Kafka, and React. A successful candidate will collaborate closely with product management and engineers on the team to help drive the design and implementation of a cutting edge product. This role will be based out of North America in the PST and MST zones only. The ideal candidate for this role will have 2-3 years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem Experience with relational data modeling and at least one SQL database (Postgres, MySQL, etc) Basic familiarity with streaming systems such as Apache Kafka, AWS SQS, etc Basic familiarity with client-side technologies such as React 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 Collaborate with product management, product designers and other engineers Contribute high quality and well-tested backend code to the data migration engine its surrounding services Participate in code reviews and team technical discussions 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 codebase including the frontend stack, Confluent plugins, GitHub workflows, etc Worked on and delivered a medium scale feature in the product Contributed to and helped deliver a few releases of the product Reviewed and contributed to scope and technical design documents Within 12 months, you will have: Familiarised yourself with the work of other teams within the department Delivered at least one large scale feature that spans the entire tech stack Helped recruit and interview new members of the team 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, 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. REQ ID: 425547

Requirements

  • 2-3 years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
  • Experience with relational data modeling and at least one SQL database (Postgres, MySQL, etc)
  • Basic familiarity with streaming systems such as Apache Kafka, AWS SQS, etc
  • Basic familiarity with client-side technologies such as React
  • 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

Responsibilities

  • Collaborate with product management, product designers and other engineers
  • Contribute high quality and well-tested backend code to the data migration engine its surrounding services
  • Participate in code reviews and team technical discussions
  • Give and solicit feedback on technical design documents and pull requests
  • Perform tasks related to process such as CI/CD, quality, testing, etc

Benefits

  • employee affinity groups
  • fertility assistance
  • generous parental leave policy

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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