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 anywhere—on the edge, on premises, or across cloud providers. With offices worldwide and over 175,000 developers joining MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
Join and be a part of leading the MongoDB Networking Observability team, helping build the core of a distributed database! Our team focuses on creating and enhancing components which facilitate communication between cooperating distributed processes and make these processes, and their communication, easily observable. Networking Observability’s responsibilities include improving MongoDB networking, improving the efficiency of resource utilization and building low-overhead observability features.
Our team currently consists of six engineers, some located in New York City and some fully remote. We operate close to the bottom of the stack, and have a lot of influence over the performance and robustness of our open source database as well as the development efficiency of the engineering team overall. Recently we’ve worked on POCs and performance tests for new architectural directions in our networking stack, and are integrating OpenTelemetry to accelerate investigation of issues or performance bottlenecks in our tests.
Are you excited to help the MongoDB engineering team build a better database? We are! Join us today, and we can build a faster, more reliable, exceptionally observable, database system together.
We are looking to speak to candidates who are based in New York City, NY for our hybrid working model.
Candidate Profile
- 10+ years of experience building distributed systems, including extensive experience with networking
- Experience with building production-level code with a large user base, robust design structure and rigorous code quality, written in C++ or another systems programming language
- 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
- Tracing of distributed systems
- Rearchitecting highly available and scalable distributed systems (eg: decoupling storage and compute, improving cluster elasticity and utilization)
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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
