Software Engineer Data Migration

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey helping customers with schema modeling code generation initial data loads and continuous data synchronization.

We're looking for a Software Engineer with a strong background in computer science fundamentals systems design experience in the Java ecosystem streaming systems and data-intensive applications to join our engineering team. In this role you will be instrumental in designing building and optimizing the underlying data structures algorithms and database interactions that power our generative AI platform code generation and migration tools. This involves crafting sophisticated orchestration layers robust integration points and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack which includes Java Spring Boot Kafka Debezium and React.You will work on critical components that ensure the scalability efficiency and reliability of our services collaborating closely with AI researchers product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of Washington Oregon or California.

• 2+ years of  engineering experience in backend systems distributed systems or core platform development
• Experience in one or several of Java Rust C/C++ and/or Python with a strong understanding of systems-level programming memory management and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• 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

• Familiarity with cloud-native distributed systems (e.g. Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

• Contribute high-quality well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems particularly within data flow and orchestration
• 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 

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
• 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

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 60000 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: 4263333160

What We Do

The database market is big. How big? Well according to IDC it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want wherever they want.

Why Work With Us

We are ambitious. We are passionate about creativity. And we believe the best paths are the ones we have yet to forge.

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