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At a glance
- Employment type
- Full-time
- Workplace
- Remote
- Category
- Full-stack
What you'll be doing
Join the MongoDB Server Query team to help build a distributed open source query engine. You'll work on the MongoDB Query Language, query lifecycle, and geospatial search. The role involves designing and building core database features, collaborating with global teams, and improving query performance.
- Understand and improve current functionality of the MongoDB query engine
- Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics for query performance problems, and integration with other products and to
- Work with other engineers to coordinate seamless changes in a feature-rich, large code base
- Work with other teams including client drivers, cloud services, enterprise tools, support, consulting, education, and marketing to coordinate changes or contribute to their projects
Key requirements
Must-have
- 3+ years of experience in data intensive environments
- 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
- B.Sc in Computer Science or similar field, or equivalent practical experience
Nice-to-have
- Experience in developing database systems
- Interest in the theory and practice of database query engines
- Hands-on experience or M.Sc./Ph.D in the domain
Experience: 3+ years
Role signals
- Technical focus
- database query engine, query performance, distributed systems
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
Similar jobs
Full job description
Join the MongoDB Server Query team, and help us build a world-class distributed open source query engine. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, from parsing to optimization to plan selection and finally execution. This also includes our geospatial search and update subsystems.
Our global team is growing fast. In North America, we have a presence across the US and Canada including New York, West Coast, Toronto. In Europe, we have a presence in Dublin, Germany, France, Netherlands, UK, Bulgaria, Spain and Italy currently. We support office-based and remote work and align projects with convenient work hours.
We have tons of interesting problems to solve with direct impact on users for transactional, time-series and analytical workloads. We need your help to design and build the heart of a distributed, flexible schema, document database.
We are looking to speak to candidates who are based in Dublin for our hybrid working model.
Candidate Profile
-
3+ years of experience in data intensive environments
-
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
-
B.Sc in Computer Science or similar field, or equivalent practical experience
-
Experience in developing database systems is a plus
-
Interest in the theory and practice of database query engines. Hands-on experience or M.Sc./Ph.D in the domain is a plus
Position Expectations
-
Understand and improve current functionality of the MongoDB query engine
-
Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics for query performance problems, and integration with other products and tools
-
Work with other engineers to coordinate seamless changes in a feature-rich, large code base
-
Work with other teams including client drivers, cloud services, enterprise tools, support, consulting, education, and marketing to coordinate changes or contribute to their projects
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
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In six months, you’ll have taken on code review responsibilities and are involved in reviewing the design for new features
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In twelve months, you’re making significant contributions to the development of a new major features
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 3273583758
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
Based on this listing, the Software Engineer 3 role on the MongoDB Server Query team focuses on enhancing the distributed query engine, requiring strong computer science fundamentals, experience with large code bases, and hands-on work in data-intensive environments.
- Database internals and query optimization·High
- Software architecture in distributed systems·High
- Collaboration in large codebases·Medium
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review MongoDB Query Engine Concepts
0–8 minStudy the MongoDB query lifecycle, including parsing, optimization, and execution, to understand the technical context of the role.
Prepare Examples of Performance Optimization
8–15 minIdentify and rehearse 1-2 stories where you improved performance in data-intensive systems, focusing on your approach and results.
Reflect on Large Codebase Contributions
15–21 minList specific instances where you designed or implemented features in large, collaborative codebases, emphasizing teamwork and maintainability.
Research Cross-Team Collaboration Strategies
21–26 minReview best practices for working with distributed teams and prepare to discuss your experience coordinating changes across multiple groups.
Draft Role-Specific Questions
26–30 minPrepare thoughtful questions about the team's challenges, processes, and growth opportunities to ask during the interview.
Talking points
, 5 itemsExperience with Data-Intensive Systems
Demonstrate your ability to work with complex, high-throughput systems and highlight relevant projects where you handled large volumes of data.
Computer Science Fundamentals
Showcase your understanding of data structures, algorithms, and software architecture, as these are core to query engine development.
Working with Large Codebases
Provide examples of navigating, contributing to, and refactoring large, feature-rich codebases, as this is central to the role.
Query Performance and Optimization
Prepare to discuss diagnosing and improving query performance, including any experience with query languages or database internals.
Cross-Team Collaboration
Illustrate your ability to coordinate with multiple teams (e.g., client drivers, cloud services) to deliver seamless product changes.
What to research
, 4 itemsMongoDB Query Engine Architecture
Review the architecture and lifecycle of queries in MongoDB, including parsing, optimization, plan selection, and execution.
Performance Optimization Techniques
Study common strategies for improving query performance and robustness in distributed databases.
Software Design in Large Codebases
Prepare examples of designing, implementing, and reviewing features in large, collaborative codebases.
Cross-Team Collaboration Practices
Reflect on your experience working with multiple teams and how you coordinate changes across products and tools.
Questions to ask
, 6 itemsWhat are the current technical challenges facing the MongoDB Server Query team?
Why ask this? To understand the team's priorities and where your skills can have the most impact.
How does the team approach feature design and code reviews for the query engine?
Why ask this? To learn about the development process and expectations for collaboration.
What is the typical lifecycle of a new feature from conception to release?
Why ask this? To clarify your role and responsibilities throughout the development process.
How does the team measure the success of query performance improvements?
Why ask this? To understand the metrics and goals that drive engineering decisions.
What opportunities are there for professional growth and learning within the team?
Why ask this? To assess how the company supports ongoing development and advancement.
How does the team coordinate with other groups such as cloud services or client drivers?
Why ask this? To gain insight into cross-team collaboration and communication practices.
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