Senior Software Engineer, Data Migration

MongoDB; Remote; CAD 137,000 - 189,000; Full time

Job summary

A leading technology company in Canada seeks a Senior Software Engineer to enhance their data migration suite. The role requires deep experience in Java and related technologies like Spring and Kafka. The successful candidate will contribute to high-quality backend services while collaborating closely with cross-functional teams. The salary range for this position is between $137,000 and $189,000 CAD, reflective of the candidate's experience and expertise.

Qualifications

• Experience in the Java ecosystem, particularly with Spring.
• Expertise in streaming data platforms and CDC tools.
• Strong background in SQL databases; relational modeling skills.

Responsibilities

• Deliver high-quality backend code for data migration systems.
• Collaborate with product management and engineering teams.
• Participate in code reviews and enforce coding standards.
• Troubleshoot complex issues in distributed systems.

Skills

Java

Apache Kafka

Spring Boot

Relational data modeling

SQL databases

Data structures

Algorithms

Communication skills

Education

6+ years of software development experience

Job description

We are looking for an experienced Senior Software Engineer with experience in the Java ecosystem, streaming systems, and data-intensive applications to join our team. We are building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React. A successful candidate will be a key contributor to our backend services, collaborating closely with 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.

The ideal candidate for this role will have

• 6+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
• Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Extensive experience with relational data modeling and hands‑on experience with at least one SQL database (Postgres, MySQL, etc)
• 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

• 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 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.

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.

MongoDB’s base salary range for this role in Canada is:

$137,000 — $189,000 CAD