Staff Engineer, MongoDB

• 8+ years of experience in programming, debugging, and performance tuning of distributed and/or highly concurrent software systems
• Strong systems fundamentals, including multi-threaded programming and performance profiling
• Experience with distributed systems
• Proven experience in building, deploying, and operating multi-tenant cloud services with a focus on operational excellence
• Familiarity with database internals or experience building core components for data processing systems
• Hands-on experience in developing performance-sensitive software, with experience using performance analysis tools
• Experience with large backend/compiled codebases, preferably in Rust or C/C++
• B.Sc. in Computer Science or a related field, or equivalent practical experience
• 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
• 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

• The Storage Layer Services Team is currently re-architecting the MongoDB Cloud Storage Layer
• This is a relatively new team in MongoDB that sits at the heart of the next generation MongoDB Cloud Storage Architecture, and the team is working to build performant multi-tenant distributed storage services both to enhance our existing MongoDB cloud storage architecture and to power more of our customers' use cases more efficiently
• We are looking for talented Staff Engineers to join the team and be founding members of the team, where you will play a crucial role in our multi-year roadmap
• Position Expectations:
• Develop secure multi-tenant cloud-native storage solutions to ensure performance, automatic failover and zero downtime
• Implement and operate (oncall) production-ready applications in Rust
• Diagnose test failures and performance regressions, and implement fixes
• Lead development and project management for large, cross-team initiatives
• Identify, design, implement, test, and support new features related to Storage Layer Services, while contributing to the operational excellence of running a cloud service
• Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
• Advise Management on engineering complexity and inter-project dependencies
• Collaborate with Product Management and Engineering leadership to define product roadmaps
• Success Measures:
• In the first month: Understand the high-level architecture of MongoDB Cloud Storage Architecture and resolve a few bugs
• In three months: Contribute to the Rust development of a project slated for the initial release of the Storage Layer Services and take on code review responsibilities and participate in reviewing designs for new features
• In six months: Lead the development of a new feature and help mentor new engineers on the team
• In twelve months: Contribute to the Planning, Design and Execution of major improvements that drive forward better Security/Durability/Availability/Performance of MongoDB Storage Layer Services

• Rich health insurance coverage
• Virtual & on-site fitness classes
• Health screenings & telemedicine
• Access to transgender-inclusive health insurance coverage
• Global and internal mobility opportunities
• Equity & Employee Stock Purchase Program
• Pension & retirement programs
• Income Protection
• Flexible PTO is offered to every US employee & competitive time off policies for non-US employees
• Employee Assistance Program
• Mental health counseling
• Free meditation app access
• Fertility & adoption financial assistance
• Parental counseling for new parents
• 20 weeks of fully paid gender neutral parental leave & flexible work arrangements
• 4 weeks of emergency care leave

Total funding: $311.1m

MongoDB is an open-source, cross-platform, document-oriented database system. It stores data as JSON-like documents and is written in C++, Go, JavaScript and Python.