Software Engineer 3, Storage Execution

The MongoDB Storage Execution team is part of the Online Transaction Processing (OLTP) team, and its mission is to research and develop new algorithms for efficient storage and retrieval of data, and provide a comprehensive framework for managing concurrent, transactional access to data stored within a MongoDB database instance. Our team champions a strong culture of inclusivity, diversity, and collaboration. As a team member, you will contribute to crafting and maintaining the nexus of the different server components, connecting its query system and distributed replication system to its underlying storage engines. Ongoing work includes improvements to our time series support, transaction management, indexing algorithms, scaling the code base, and improving resilience and availability for the server. This role will be based in our New York City office. Candidate Profile • Experience with building industrial-strength software projects with a large user base, robust designs, a high level of code quality, and collaborative software development processes • Degree in Computer Science or similar field, or equivalent practical experience, with strong proficiency in data structures, algorithms, concurrency, and software design/architecture • Interest in the theory and practice of database internals • At least 5 years of experience in programming, debugging, and performance tuning for distributed and/or highly concurrent software systems • Professional or advanced academic expertise in the domain of distributed systems is helpful, but not required Position Expectations • Collaborate with other Storage Execution team engineers to coordinate seamless changes in a large, feature-rich C++-based codebase • Work with product management and neighboring engineering teams to specify and deliver new features for our customers • Identify, design, implement, test, and support new features within the purview of Server Execution • Keep abreast of new database technologies and research, and work to incorporate them into the server • Espouse and promote the MongoDB values through mentorship, building together, intellectual honesty, and accountability Success Measures • In three months, you will have contributed to the development of a project slated for the next major release, as well as fixed a few bugs in a minor version of our latest stable release series • In six months, you will be responsible for reviewing code, interviewing potential new hires, and reviewing new feature designs • In twelve months, you will own the development of a new major feature and will help to 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 75% of the Fortune 100 and AI-native startups, 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…