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Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

As an ideal candidate, you will have

• 5+ years of hands-on backend engineering experience building and operating production applications
• Strong application-side expertise with MongoDB, including data modeling, access patterns, aggregation, indexing, transactions, change streams, and a clear understanding of query and transaction semantics
• Application-level fluency with at least one major relational database, including relational data modeling, access patterns, database drivers or ORMs, indexing, transactions, query planning, and transaction-isolation assumptions
• Experience integrating a new database into a large production codebase and migrating production workloads, including persistence abstractions, data synchronization, dual-write or CDC patterns, application refactoring, validation, and incremental rollout
• Strong coding ability in at least two languages such as Java, C#/.NET, Node.js/TypeScript, Python, or Go, plus experience with APIs, distributed systems, containers, and cloud or self-managed deployment environments
• Experience with SaaS and product engineering, including multi-tenancy, tenant isolation, versioned schemas, and backward compatibility, together with the ability to work effectively in unfamiliar codebases and explain technical trade-offs clearly
• Willingness to spend significant time on-site with ISV partners and travel within the region

As an ideal candidate, you may also have

• Experience working for or with an ISV, or in a forward-deployed, embedded, resident-engineer, or partner-engineering role
• Familiarity with event-driven and microservices architectures and technologies such as Kafka, as well as performance engineering, observability, resilience, or production-readiness reviews
• Exposure to security and compliance requirements for ISVs serving regulated industries
• Experience creating reusable tooling, reference implementations, integration components, or technical documentation, along with MongoDB certification, Atlas experience, or familiarity with MongoDB’s broader product portfolio

What you will learn

• Gain practical experience modernizing applications and delivering MongoDB solutions for partner products across different industries, including coexistence and migration scenarios in cloud-native environments, while developing reusable patterns and your technical and communication skills
• Broaden your perspective on how data-intensive products evolve and develop the judgment to translate diverse product and operational requirements into practical MongoDB solutions

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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, 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 is an equal opportunities employer.

Req. ID: 3273528254

AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.

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

$158,000 — $220,000 CAD