Senior Software Engineer, Cluster Scalability

Join Cluster Scalability, one of MongoDB's Online Transaction Processing teams, and help build the core infrastructure that makes MongoDB a world-class distributed database. The team builds the infrastructure and tools that let customers scale their workloads past what a single node can handle. We take pride in building clean abstractions over hard distributed systems problems, so users can focus on their data instead of worrying about where it lives or how it's accessed. Our work has a big impact: it solves the hardest data challenges faced by MongoDB's largest customers.

As a Senior Software Engineer on Cluster Scalability, you'll work on data partitioning, one of the hardest and most impactful problem areas at MongoDB today. You'll collaboratively design and build the distributed machinery that turns independent query-processing and storage nodes into a single, unified database system. Your team’s work will be to build the data-movement and dynamic-scaling features that run on top of it. Current work includes seamless horizontal scaling with minimal tradeoffs, better cluster elasticity and smarter workload execution. You'll solve complex performance problems and design protocols for moving and placing data without disruption. Your work will help the architecture scale reliably to meet customer demand at any volume.

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators.

This role can be based remotely in British Columbia or Ontario, Canada.

Candidate Profile

5+ years of experience building distributed systems

Experience with building production-level code with a large user base, robust design structure and rigorous code quality, written in C++.

Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture

Passion for the theory and practice of system design for large-scale distributed systems, as well as hands-on or academic experience in the domain

Understands modern computer architecture and internals to the degree that they can reason about how specific design choices plays out in a system like MongoDB

Has demonstrated industry success or academic research in areas such as

High performance / low latency networking

Performance tuning

Distributed systems

System observability

System resiliency

Success Measures

In your first month, you’ll understand the high-level architecture of MongoDB, dive into the details of your team’s components, and resolve a few bugs

In the first three months, you’ll contribute to the development of a project slated for the next release of MongoDB, take on code review responsibilities, and participate in design reviews for new features

In the first six months, you’ll lead the development of a new feature and help mentor new engineers on the team

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 Leadershi