Senior Software Engineer, Cluster Scalability

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

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

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: 3273558049

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.