MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
The Workload Scheduling team is focused on improving the operational resilience of MongoDB clusters. We own the infrastructure responsible for queuing policies, load-shedding decisions, and maintaining availability and performance during situations where system resources are constrained. Have you thought a lot about optimizing goodput, reducing operational latencies, and delivering rock-solid availability? Do you dream about queueing theory? Join a small and passionate team building this mission-critical infrastructure from the ground up, and help make an impact on this important piece of MongoDB’s core offering.
This role can be based out of our NYC headquarters, office hub locations, or remotely in the United States and Canada.
Candidate Profile
- 10+ years of experience building distributed systems, including extensive experience with availability and performance
- Experience with building production-level code with a large user base, robust design structure and rigorous code quality. Experience in C++ and/or Rust is preferable
- Passion for the theory and practice of system design for large-scale distributed systems
- Excellent verbal and written technical communication skills and a desire to collaborate with colleagues and mentor junior engineers and interns
- Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
- Has demonstrated industry success or academic research in areas such as:
- Performance tuning
- Writing software to observe and mitigate overload scenarios for highly performant and concurrent systems
- Load and availability testing
- Experience in delivering and deploying a product with several cross-team stakeholders to a large base of end-users
Position Expectations
- Write production-ready code in C++ or Rust, improve the existing code and mentor engineers on the team to write high quality code
- Write tests in C++, Rust, Javascript, and Python, identify key coverage gaps in correctness and performance testing
- Develop and architect novel ways to observe, detect and mitigate overload of the database
- Leverage deep knowledge of the strength and weakness of the product and the industry trends to provide technical vision and direction
- Set initiative level strategy and guide the team towards successful execution with measurable outcomes
- Advise product and engineering management on decisions related to roadmap, processes, architecture and design
- Advocate across the organization for improvements and setting the standard on writing secure, robust, well-reasoned industrial-strength software
- Work with other teams including client drivers, cloud services, enterprise tools, support, consulting, education, and marketing to coordinate changes and ensure successful delivery of product features
- Handle (or lead the effort to handle) time-sensitive customer escalations
Success Measures
- In three months you’ll have contributed to the development of a project slated for the next major version of MongoDB, as well as fixed a few bugs in a minor version of our latest stable release series; You'll have learned about MongoDB's project lifecycle, and the team’s long-term goals for the system
- In six months, you’ll have taken on code review responsibilities and are playing an active role in drafting and reviewing the design for new features; You are starting to take ownership of high-level execution goals for the team
- In twelve months, on the basis of your extensive past experience in the large-scale distributed systems and performance programming space, you have contributed to the long-term technical roadmap of the MongoDB Workload Scheduling team
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: 1263079343
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:
$159,000—$221,000 CAD
