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 Senior 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 North America in the PST and MST zones only.

The ideal candidate for this role will have

• 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

Nice to Have

• 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

Position Expectations

• 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 

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
• 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

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

The Role:

We are looking for an eager Senior Staff Software Engineer excited to dive in and help build and support the cutting edge technology systems of the Lending Finance Platform team, which support our Capital Markets and Accounting business functions. SoFi is trying to push the boundaries of lending and provide next-level products for our members and investors, and we are seeking anyone with big ideas and a drive to help achieve our goals.

We value forward-thinking engineers who are hands-on, take ownership, and drive delivery. You’ll be surrounded by a talented team where mentorship, knowledge-sharing, and collaboration are central to our culture. We’re seeking someone who is not only an expert in full-stack development but also understands how to leverage data for impactful reporting and aggregation across the platform.

As a senior staff software engineer, you will be part of a team that is empowered to make technical decisions that have direct impact on the success of the business. You will be in the middle of it all – working with partner teams in Lending Engineering and Data Science, implementing new functionality, architecting our system, squashing bugs, maintaining the health of our code, delivering scalable and highly-available services, and continually growing as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. 

At SoFi, we pride ourselves on the collaboration between Product, Design, and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, testing, deploying, monitoring, supporting, and continual improvements and evolution of mission-critical systems. You’ll face and solve a wide range of challenges: technical, product, and operational, shaping your personal growth and career along the way, as well as using your areas of expertise to grow the capabilities of the rest of the team.

What You’ll Do:

Hands-on Engineering/ Technical Leadership & Strategy

• Write production-grade, scalable backend code using Java, Kotlin, Spring Boot, and modern frameworks.
• Debug and resolve complex systems issues in high-scale, real-time services.
• Develop APIs, services, and platform infrastructure that support loan servicing, payment schedules, and operational workflows.
• Drive hands-on delivery of critical projects like schedule generation, batching frameworks, and testing infrastructure.
• Architect platform-level services and improve systems for resilience, observability, and extensibility.
• Make high-leverage engineering decisions that balance speed, quality, and maintainability.

Raise the bar on engineering quality through hands-on contributions, design reviews, and technical mentorship.

Team Collaboration & Mentorship

• Partner with product, design, operations, and other engineering teams to build solutions that deliver business value and customer impact.
• Contribute to cross-functional platform efforts (e.g., onboarding, credit bureau reporting, collections APIs).
• Drive alignment on technical strategy and execution, with strong written and verbal communication.

What You’ll Need:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 8+ years experience as a software engineer, designing and implementing complex software solutions.
• Experience with React / Java / Spring / Kotlin / PostgreSQL / AWS. Expertise with any modern Java frameworks, REST APIs, and relational databases
• Deep understanding of software architecture, design patterns, and best practices for building scalable and robust applications.
• Proven experience in leading and mentoring engineering teams, promoting technical excellence and collaboration.
• Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to diverse audiences.
• Experience with Kafka, Docker, Kubernetes, Spring Boot, cloud infrastructure, Terraform and CI/CD

Nice to have:

• Experience in financial services or fintech (loan servicing, payments, interest calculations, credit reporting, etc.)
• Experience with Temporal, Kubernetes, Docker, Terraform, and CI/CD tooling.
• Exposure to data analytics or machine learning platforms.
• Familiarity with front-end technologies such as React, Scala, or Flutter.