Software Engineer, Data Migration

MongoDB; New Mexico; On-site; USD 109,000 - 215,000; Full time

Job summary

A leading database technology company is seeking a Senior Engineer to develop and optimize data migration tools for their generative AI platform. The position requires proficiency in Java and experience with Kafka, alongside a strong foundation in backend systems. Responsibilities include efficient backend development, collaboration with cross-functional teams, and addressing performance challenges. The role is based in the U.S. with a competitive salary range of $109,000 to $215,000 USD.

Qualifications

• Engineering experience in backend systems, distributed systems, or core platform development.
• Experience in Java, Rust, C/C++, and/or Python.
• Experience with streaming data platforms like Apache Kafka.

Responsibilities

• Contribute high quality backend code to backend systems.
• Collaborate with product management and engineering teams.
• Identify and address performance bottlenecks.

Skills

Java

Kafka

Distributed systems

Systems design

Performance tuning

Data-intensive applications

React

C/C++

Python

Education

2+ years of engineering experience

Tools

Spring Boot

Debezium

Job description

Overview

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 modelling, 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. This role involves designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. You will craft sophisticated orchestration layers, integrate with advanced AI capabilities, and build a modern data migration suite using Java, Spring Boot, Kafka, Debezium, and React. The position will be based in the PST and MST zones only.

Responsibilities

In this role you will:

• 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 to deliver on the product roadmap.
• Develop robust and efficient backend services that orchestrate AI functionalities.
• Identify and address performance bottlenecks and architectural challenges, particularly within data flow and orchestration.
• Participate in code reviews, enforce best practices and patterns.
• Help troubleshoot and resolve complex technical issues in our distributed systems.
• Provide and solicit feedback on technical design documents and pull requests.
• Perform tasks related to process such as CI/CD, quality, testing, etc.

Position Expectations

• Contribute 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 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.
• 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:

• Familiarise yourself with the MongoDB database and aggregation language.
• Familiarise 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.
• Start collaborating with your peers and contribute to code reviews.

Within six months:

• Familiarise yourself with the rest of our application modernisation 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 twelve 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 MongoDB on cross‑functional projects.

Qualifications

• 2+ years of engineering experience in backend systems, distributed systems, or core platform development.
• Experience in 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 modelling 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.
• Contributions to relevant open‑source projects.

Compensation

MongoDB’s base salary range for this role in the U.S. is: $109,000—$215,000 USD.

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.

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process.