Senior Software Engineer, MongoDB

Catalog & Routing

Salary not provided
MongoDB
C++
C
Senior level
Barcelona
MongoDB

Developer data platform

Be an early applicant

MongoDB

Developer data platform

1001+ employees

B2BEnterpriseBig dataCloud Computing

Be an early applicant

Salary not provided
MongoDB
C++
C
Senior level
Barcelona

1001+ employees

B2BEnterpriseBig dataCloud Computing

Company mission

To empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.

Role

Who you are

  • Shown success in designing, writing, testing and maintaining distributed and/or highly concurrent software systems in large, long-lived C/C++ code bases
  • Proven experience in programming, debugging and performance tuning, and a strong grip on computer science fundamentals. Professional or advanced academic expertise in the areas of distributed systems and databases is preferable, but not strongly required
  • Excellent verbal and written technical communication skills and desire to collaborate with colleagues and mentor junior engineers and interns
  • Excellent time leadership skills and the ability to make realistic assessments of project complexity
  • Regardless of prior experience, they are willing, able and excited to quickly learn new things in the domains of computer science and software engineering. They are curious about how people and organizations use MongoDB, and how MongoDB could be improved to enable more uses

What the job involves

  • The MongoDB Catalog and Routing team carries the important responsibility of hiding the complexity of building a distributed database system
  • They implement scalable interfaces with strong consistency guarantees which are used by other MongoDB developers to navigate and organize user data
  • As a result, their work has a direct impact on the productivity of the entire organization and the success of MongoDB’s horizontal scaling strategy
  • Recent work includes the addition of unpartitioned datasets to the catalog such that it can be balanced across multiple nodes without splitting a table’s keyspace, embedding cluster topology components to reduce the operational complexity of running a sharded cluster, and the ability to perform concurrent data definition operations
  • Understand and improve current functionality in MongoDB’s catalog and routing components
  • Identify, design, implement, test and support new features in MongoDB
  • Work with other specialists to coordinate flawless changes in a feature-rich, large code base
  • Work with product management and others to specify new features that delight our users
  • Estimate task complexity and report progress and risks to peers and managers
  • Learn from and teach peers and junior engineers
  • Develop and maintain expertise in the modern practice and research of distributed systems and databases
  • In the first month you will have understood the surface area and the high level architecture of MongoDB sharding, become familiar with the code areas with which it interfaces 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 tackled code review responsibilities and are involved in reviewing the design for new features
  • In twelve months, you are owning the development of a new feature and are helping to mentor new engineers on the 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 headshot

Freddie

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

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

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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