Senior Staff Engineer, MongoDB

• Minimum 12 years of experience in programming, debugging, and performance tuning distributed and/or highly concurrent C/C++/Rust software systems. Experience in C++ is preferable, but not required
• Strong systems fundamentals, including multi-threaded programming and performance profiling
• Familiarity implementing distributed systems such as consensus protocols, logical clocks, distributed transactions, and fault tolerance
• Experience implementing database internals or building core components for data processing systems
• Excellent verbal and written technical communication skills and a strong desire to collaborate with colleagues and mentor engineers
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity

• The Cluster Scalability Team builds features into the MongoDB Server that enable operators to scale their workload seamlessly from 100 to 100 billion operations a day
• The team is responsible for specifying where data is stored and building the distributed protocols for quickly moving data around a cluster to achieve the desired data distribution
• This includes building primitives to both move small ranges of data, and to rewrite an entire collection across a sharded cluster with a new sharding partition key and data distribution
• In the near-term we'll be focusing on making our data movement primitives more reliable, resilient, and performant
• In the future, we hope to expand our scaling flexibility to specialized workloads, make sharding invisible to users, and more intelligently arrange data placement to transparently support dynamic customer workloads
• Architect and develop novel protocols for moving data between different shards in a sharded database cluster, ensuring correctness, performance, resiliency, and low-cluster impact
• Design and implement protocols for placing data intelligently throughout a cluster and the plans for how to achieve that placement
• Handle distributed systems related customer escalations from Technical Support team and coach teammates to do the same
• Write production-ready database code in C++, improve the existing code, and mentor their team to write higher quality code
• Own all code the Cluster Scalability Team maintains, ensuring it achieves a high standard for quality (including security, durability, availability, and performance) and maintainability
• Write and improve unit and integration tests in C++, Javascript, and Python to demonstrate correctness
• Diagnose test failures, identify bugs in existing code, fix them, and prevent bugs from being introduced in new code
• Investigate the performance impact of code changes that may cause software performance regressions
• Interview candidates for advanced software engineering positions
• Develop and maintain expertise on cutting edge database and distributed systems research from industry and academia
• Lead development and project management of some of the largest projects across the company
• Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
• Advise Product Management on technical product direction, engineering complexity and inter-project dependencies
• Collaborate with Product Management and Engineering leadership to define product roadmaps
• In the first month, you will have understood the high level architecture of MongoDB sharding and fixed a few bugs
• In three months, you will have contributed to the development in C++ of a project slated for the next major release of MongoDB, and diagnosed and fixed a few customer or testing-reported issues
• In six months, you will have taken on code review responsibilities and are involved in reviewing the design for new features
• In twelve months, you will be leading the development of new features and initiatives, helping to mentor engineers on the team, and using your experience to drive the long-term technical roadmap of the Cluster Scalability Team

• 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.