Software Engineer, MongoDB
Internal Query Engine Testing Tools, Query
Developer data platform
Open for applications
Developer data platform
1001+ employees
Open for applications
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 software development and/or performance engineering
- Fluency in Python, Javascript or Typescript
- Enjoys chasing down difficult problems in a distributed environment
- Able to make complex concepts easy to grasp in written and spoken English
- Able to decompose and solve complex problems and can rapidly iterate by validating new hypotheses and rethinking current assumptions
- Demonstrating hands-on experience working with relational or NoSQL databases is a plus
- B.Sc. in Computer Science or related field, or equivalent practical experience. Advanced degrees of experience in database query engines is a plus
- Experience in developing automation test frameworks is a plus
- Experience in query processing engine testing is a strong plus
- Experience in developing performance test plans and monitoring frameworks is a strong plus
- Background in database query engines or compilers is a strong plus
What the job involves
- The MongoDB Query Testing Tools Team is hiring Software Engineers who want to join us in building a state-of-the-art distributed query system
- Our Team builds tooling that allows us to ship Query Engine features with high confidence in both correctness and performance, making it a great fit if you like seeing your work protect real customers at scale
- The team develops advanced testing frameworks (end-to-end testing, fuzzing, property-based testing) as well as performance measurement tools, including high-volume workload generation tools
- The team is part of the Query organization which is responsible for the MongoDB Query Language and the lifecycle of each query, from parsing to optimization to plan selection; our engineers work on maintaining and improving our optimization and execution frameworks and building new query language features to help power our customers' critical workloads
- Throughout all our work, our highest priority is always ensuring that customer queries are answered correctly
- The successful applicant will be responsible for helping us to maintain the highest standards of quality through rigorous development, testing and automation strategies
- Design, develop, and maintain automated testing frameworks, Performance automated tests and internal tooling for the MongoDB query engine
- Collaborate closely with peers to understand new features and functionalities, ensuring testability, test frameworks, tooling and coverage for automating tests of both happy-path and edge-case scenarios
- Provide feedback in code reviews, focusing on the robustness and reliability of code changes
- Success Measures:
- Within three months, you have gained an understanding of MongoDB's MQL syntax and its semantics, as well as the behavior of our unique query engine. You have contributed to several code bases on Mongodb engine internal tooling
- By six months, you have established yourself as a key owner of automated test frameworks, and demonstrated improvements in test efficiency and coverage
- After twelve months, you are instrumental in ensuring quality of major new features, setting an example for new team members in best practices for correctness and performance test automation and internal tooling
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.
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 219 more jobs at MongoDB