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 Cluster-to-Cluster Team is working to make migrations, continuous synchronization, and backups of MongoDB clusters easy and reliable. The team owns mongosync, a low-level distributed-systems tool that synchronizes two MongoDB clusters. The team also maintains the Atlas Live Migration cloud service, which provides a seamless managed migration experience using mongosync.
These migration tools are a strategic priority for the company, and are used to migrate customers from self-managed MongoDB to MongoDB's cloud service, MongoDB Atlas. If you're excited to design, implement, and evolve a high-performance distributed service for syncing databases, this is the team for you!
Our team currently consists of 22 engineers, both remote and in our New York City office. This role can be based out of our NYC office or remotely in North America.
Successful candidates will have the following qualities
- Experience designing, writing, testing, and maintaining databases or distributed systems
- Curiosity, willingness, and ability to quickly learn new things in the domains of computer science and software engineering
- 10+ years of experience building distributed systems
- Experience with building production-level code with a large user base, robust design structure and rigorous code quality
- Experience building and maintaining large scale cloud services to a high level of operational excellence, including experience with monitoring, observability, and incident management
- Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture
- Excellent verbal and written technical communication skills
- Passion for the theory and practice of system design for large-scale distributed systems
- Demonstrated success in industry and/or academic research in the domain
Position Expectations
- Research state-of-the art distributed systems architecture to inform our design
- 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, architect, plan, and lead team towards successful execution
- Advise management on decisions related to roadmap, processes, architecture and design
- You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system
- Identify, design, implement, test, and support new features in a relatively new and quickly evolving Go codebase
- Assist fellow engineers in, and be an advocate for, writing secure, robust, well-reasoned industrial-strength software
- Assist fellow engineers in, and be an advocate for, achieving operational excellence in managing our cloud migration service.
- Positively influence and grow team members through active mentoring, coaching and leading by example
Success Measures
- In three months you’ll have contributed to the development of a project slated for the next release of mongosync, as well as fixed a few bugs and made small improvements; You'll have learned about MongoDB's project lifecycle, and our long-term goals for Cluster-to-Cluster sync
- In six months, you are playing an active role in drafting and reviewing the design for new features; You have expanded the team's horizons by presenting a favorite paper or system related to distributed systems architecture
- In twelve months, on the basis of your extensive past experience in the large-scale distributed systems programming space, you have contributed to the long-term technical roadmap of the Cluster-to-Cluster 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.