Staff Engineer, MongoDB
Workload Scheduling
$137-270k
Developer data platform
Be an early applicant
Developer data platform
1001+ employees
Be an early applicant
$137-270k
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
- Have you thought a lot about optimizing goodput, reducing operational latencies, and delivering rock-solid availability?
- Do you dream about queueing theory?
- 10+ years of experience building distributed systems, including extensive experience with availability and performance
- Experience with building production-level code with a large user base, robust design structure and rigorous code quality. Experience in C++ and/or Rust is preferable
- Passion for the theory and practice of system design for large-scale distributed systems
- Excellent verbal and written technical communication skills and a desire to collaborate with colleagues and mentor junior engineers and interns
- Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
- Has demonstrated industry success or academic research in areas such as:
- Performance tuning
- Writing software to observe and mitigate overload scenarios for highly performant and concurrent systems
- Load and availability testing
- Experience in delivering and deploying a product with several cross-team stakeholders to a large base of end-users
What the job involves
- The Workload Scheduling team is focused on improving the operational resilience of MongoDB clusters
- We own the infrastructure responsible for queuing policies, load-shedding decisions, and maintaining availability and performance during situations where system resources are constrained
- Join a small and passionate team building this mission-critical infrastructure from the ground up, and help make an impact on this important piece of MongoDB’s core offering
- Write production-ready code in C++ or Rust, improve the existing code and mentor engineers on the team to write high quality code
- Write tests in C++, Rust, Javascript, and Python, identify key coverage gaps in correctness and performance testing
- Develop and architect novel ways to observe, detect and mitigate overload of the database
- Leverage deep knowledge of the strength and weakness of the product and the industry trends to provide technical vision and direction
- Set initiative level strategy and guide the team towards successful execution with measurable outcomes
- Advise product and engineering management on decisions related to roadmap, processes, architecture and design
- Advocate across the organization for improvements and setting the standard on writing secure, robust, well-reasoned industrial-strength software
- Work with other teams including client drivers, cloud services, enterprise tools, support, consulting, education, and marketing to coordinate changes and ensure successful delivery of product features
- Handle (or lead the effort to handle) time-sensitive customer escalations
- In three months you’ll have contributed to the development of a project slated for the next major version of MongoDB, as well as fixed a few bugs in a minor version of our latest stable release series; You'll have learned about MongoDB's project lifecycle, and the team’s long-term goals for the system
- In six months, you’ll have taken on code review responsibilities and are playing an active role in drafting and reviewing the design for new features; You are starting to take ownership of high-level execution goals for the team
- In twelve months, on the basis of your extensive past experience in the large-scale distributed systems and performance programming space, you have contributed to the long-term technical roadmap of the MongoDB Workload Scheduling 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 values
- Think Big, Go Far
- Build Together
- Embrace the Power of Differences
- Be Intellectually Honest
- Own What You Do
- Make it Matter
Company HQ
Theater District, New York, NY
Articles
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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