Senior Staff Engineer, MongoDB
Cluster Scalability
$168-330k
Developer data platform
Open for applications
Developer data platform
1001+ employees
Open for applications
$168-330k
1001+ employees
Company mission
To empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.
Role
Who you are
- 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
What the job involves
- 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
Our take
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.
Essentially, the company develops tools and blueprints to help businesses and organisations modernise their legacy applications, migrating them to the MongoDB database and the MongoDB Atlas cloud database. With this initiative, MongoDB is particularly taking aim at Oracle customers with ageing applications running on the Oracle relational database system.
Since its release, MongoDB has become one of the most popularly used NoSQL database systems due to its ease of use and efficiency. It is also the fastest-growing database ecosystem, and boasts hundreds of millions of downloads. Recently, the company announced a partnership with Patronus AI, an automated evaluation and security platform, through which it will bring automated LLM evaluation and testing capabilities to enterprise customers.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jan 2015
$80m
SERIES G
Oct 2013
$150m
SERIES F
Total funding: $311.1m
Company benefits
- 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
Company HQ
Theater District, New York, NY
Leadership
Dwight Merriman
(Co-Founder)Previously CTO and Co-founder at DoubleClick for 10 years, and Chairman at AlleyCorp for 15 years.
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