Senior SDET Engineer, MongoDB
Query
Developer data platform
Be an early applicant
Developer data platform
1001+ employees
Be an early applicant
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 4 years of experience in QA automation or software development with a focus on test automation
- Proficiency in writing and maintaining test automation for large codebases
- Strong background in databases, data management systems, and understanding of database query engines; direct experience is highly valued
- Solid foundation in computer science, with knowledge of data structures, algorithms, and software design/architecture
- B.Sc. in Computer Science or related field, or equivalent practical experience. Advanced degrees of experience in database query engines is a plus
- Passion for quality and an understanding of the latest test automation technologies and frameworks
What the job involves
- The MongoDB Query Team is hiring Software Engineers who want to join us in building a state-of-the-art distributed query system
- We are 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 testing and automation strategies
- Design, develop, and maintain automated tests and testing frameworks for the MongoDB query engine
- Collaborate closely with development teams to understand new features and functionalities, ensuring testability and automating tests to cover both happy-path and edge-case scenarios
- Identify, isolate, and document bugs and issues within the database query system. Work with developers to ensure issues are resolved
- Enhance and extend the automation framework to improve test coverage, execution time, and tooling for diagnostics and performance testing
- Review and approve testing plans drawn up in the design phase of Query team projects. At the end of the project, certify that it has met its commitments regarding test coverage
- Provide feedback in code reviews, focusing on the robustness and reliability of code changes from a testing perspective
- 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 and its interaction with other server systems (storage/indexes, sharding, etc). You have begun identifying key areas for testing improvements
- By six months, you have established yourself as a key reviewer for automated tests, independently leading the testing efforts for complex functionalities, and demonstrating improvements in test efficiency and coverage. You have significantly contributed to increasing the automated test coverage for upcoming releases
- After twelve months, you are instrumental in shaping the testing strategy for major new features, mentoring new team members in best practices for test automation and quality assurance
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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