Software Engineer, MongoDB
Query Integration
$106-209k
Modern data platform
Be an early applicant
Modern data platform
1001+ employees
Be an early applicant
$106-209k
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
- 3+ years of experience in computer programming
- Experience in databases and/or data management systems is a huge plus, but not a requirement
- Hands-on experience building industrial-strength software
- Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture
- Experience with large code bases, preferably in C++
- B.Sc. in Computer Science or similar field, or equivalent practical experience
- Interest in the theory and practice of database query engines. Hands-on experience or M.Sc./Ph.D in the domain is a plus
What the job involves
- The Query Integration team is at the heart of making MongoDB's data capabilities seamless and accessible. Our mission is to build intuitive, user-facing features on top of our core query engine and integrate it deeply with the broader MongoDB ecosystem
- We work on cutting-edge features that power our time-series database, extend analytical language capabilities, and scale our high-growth Atlas Search and Vector Search products
- We are a highly collaborative team that values engineering excellence and continuous learning. While our core engine development is in C++, our testing infrastructure relies on JavaScript and Python, making for a dynamic and modern development environment
- As a Mid-Level Software Engineer on the Query Integration team, you will bridge the gap between core database internals and user-facing features. You will:
- Develop and scale new query capabilities that directly impact our time-series, Atlas Search, and Vector Search products while adding workload telemetry for greater database insights
- Contribute high-quality, maintainable code primarily in C++ and gain a deep, working understanding of the MongoDB query engine
- Work constructively with peers to design, implement, and support robust technical solutions while giving and receiving meaningful feedback in code reviews
- Build comprehensive testing suites in Python/JavaScript and implement diagnostics to help identify and resolve complex query performance problems
- Success Measures:
- In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series
- In six months, you’ll have taken on code review responsibilities and are independently delivering complex functionality and squashing bugs independently
- In twelve months, you’re contributing to the design of major new features 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 organizations modernize 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 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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 192 more jobs at MongoDB