Senior Software Engineer, Storage Layer Services

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. We are looking for a talented Senior Software Engineer to join our team as we execute on a multi-year roadmap and prepare to launch and rapidly scale services that handle petabytes of data. Come do some of the most interesting work of your career as we Think Big and Go Far for our customers! This role can be based out of our New York City office (hybrid working model) or remotely in the North America region. What you’ll do • Design, build, and operate control plane services powering an elastic and multi-tenant storage layer for thousands of database instances. • Solve problems around maintaining high availability and performance during load spikes, hardware failures, cloud provider outages, and other disruptions. • Contribute to a culture of operational excellence through dashboards, playbooks, and on-call improvements. • Lead complex technical projects from planning through successful deployment with clear stakeholder updates. • Partner closely with peers across database, cloud, and infrastructure engineering teams as well as project management to investigate incidents and develop long-term roadmaps. • Mentor junior engineers and foster a collaborative team environment. We’re looking for someone with • 5+ years of professional software development experience building, deploying, and operating multi-tenant cloud services with a focus on operational excellence. • Experience with large backend/compiled codebases, such as Rust or C/C++. • Experience with containerization and orchestration platforms (e.g. Kubernetes). • Experience with observability tooling (e.g. time series metrics, dashboards). • Experience with distributed systems. • Familiarity with database internals or experience building core components for data processing systems. • Excellent verbal and written technical communication skills, with a strong desire to collaborate with colleagues. • Strong time management skills and the ability to realistically assess project complexity. • Demonstrated track record of going above and beyond for customers. Strong candidates may also have • Experience writing and profiling highly performant Rust code. • Experience improving reliability through chaos engineering and load testing. • Experience building scalable cloud services on multiple cloud provider platforms (AWS, Azure, GCP). • Interest in the theory and practice of high-availability systems (hands-on experience or an M.Sc./Ph.D. in the domain is a plus). Success Measures • In 3 months, you'll have shipped code into production and collaborated with the team to solve tough problems. • In 6 months, you'll have contributed to a large project. • In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system. 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

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