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At a glance
- Employment type
- Full-time
- Location
- Ireland
- Workplace
- On-site
- Category
- Full-stack
What you'll be doing
Join MongoDB's Query Execution Team as a Senior Software Engineer to develop a high-performing, reliable, and modular distributed query system. Contribute to C++ code, enhance query engine functionality, and deliver new features for query performance and robustness. Role based in Ireland (on-site or remote).
- Understand and improve current functionality of the MongoDB query engine
- Contribute high quality C++ code and participate in code reviews
- Identify, design, implement, test, and support new features related to query performance and robustness
- Enhance query language features and diagnostics for query performance problems
- Integrate with other products and tools
- Work constructively with peers to deliver technical solutions
Key requirements
Must-have
- 5+ years of experience in systems programming
- Hands-on experience building industrial-strength software
- Solid computer science fundamentals, including data structures, algorithms, and software design/architecture
- Experience with large code bases, preferably in C++, C, Rust or a similar compiled language
- B.Sc in Computer Science or similar field, or equivalent practical experience
Nice-to-have
- Experience in databases and/or data management systems
- Interest or hands-on experience in database query engines
- M.Sc./Ph.D in the domain
Experience: 5+ years of experience in systems programming
Role signals
- Technical focus
- systems programming, query engines, database internals
- Leadership
- Mentoring
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
Similar jobs
Full job description
The MongoDB Query Execution Team is hiring software engineers who want to join us in developing a high performing, reliable and modular distributed query system. Our engineers work on implementing and maintaining execution algorithms, building new query language features, tuning database performance, and more to power our customers' critical workloads.
This role can be based out of our Dublin office or remotely in Ireland. Relocation can be supported.
Position Expectations
-
Understand and improve current functionality of the MongoDB query engine
-
Contribute high quality C++ code and give and solicit feedback in code reviews
-
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 constructively with peers to deliver excellent technical solutions
Candidate Profile
-
5+ years of experience in systems 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++, C, Rust or a similar compiled language
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
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 leading the development of a new major feature and are helping to mentor new engineers on the team
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 75% of the Fortune 100 and AI-native startups, 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: 2273491237
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
Based on this listing, the Senior Software Engineer role on the MongoDB Query Execution Team focuses on developing and enhancing a high-performance, modular distributed query system, with an emphasis on C++ systems programming, query engine internals, and collaborative feature delivery.
- Systems programming depth·High
- C++ expertise·High
- Database/query engine interest·Medium
- Collaboration and code review·High
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 minSpend time understanding MongoDB's query execution pipeline and recent advancements.
Refresh C++ Systems Programming Skills
8–15 minPractice coding and reviewing C++ code, focusing on performance, maintainability, and idiomatic usage.
Prepare Examples of Feature Delivery and Performance Tuning
15–21 minSelect and outline 1-2 strong examples from your experience that align with the role's focus areas.
Review Code Review and Collaboration Experiences
21–26 minReflect on your approach to code reviews and teamwork, preparing concise stories.
Draft Role-Specific Questions
26–30 minPrepare thoughtful questions to ask the interviewers about the team, challenges, and growth opportunities.
Talking points
, 5 itemsSystems Programming Experience
You should be ready to discuss your hands-on experience building robust, industrial-strength software, especially in C++ or similar languages, as this is central to the role.
Database or Query Engine Knowledge
Prepare to explain any experience or interest you have in database internals, query execution, or data management systems, as this is a major plus for the position.
Code Review and Collaboration
Be able to provide examples of how you have contributed to code reviews, given and received feedback, and worked constructively with peers to deliver technical solutions.
Feature Design and Implementation
Expect to discuss how you have identified, designed, implemented, tested, and supported new features, particularly those related to performance, robustness, or diagnostics.
Computer Science Fundamentals
You should be prepared to demonstrate your understanding of data structures, algorithms, and software architecture, as these are core requirements.
What to research
, 4 itemsReview MongoDB Query Engine Architecture
Study the fundamentals of MongoDB's query execution, focusing on how queries are parsed, planned, and executed.
Brush Up on C++ Best Practices
Refresh your knowledge of modern C++ features, idioms, and performance considerations relevant to large-scale systems.
Understand Code Review Processes
Prepare to discuss your experience with code reviews, including giving and receiving feedback in collaborative environments.
Explore Database Performance Diagnostics
Familiarize yourself with common techniques and tools for diagnosing and improving database query performance.
Questions to ask
, 6 itemsWhat are the current technical challenges facing the Query Execution Team?
Why ask this? Shows your interest in the team's priorities and readiness to contribute to real problems.
How does the team approach balancing new feature development with maintaining performance and reliability?
Why ask this? Demonstrates your understanding of trade-offs in systems engineering.
What is the typical code review process, and how is feedback incorporated?
Why ask this? Clarifies expectations for collaboration and code quality.
How does the team support professional growth and mentorship for senior engineers?
Why ask this? Shows your interest in leadership and ongoing development.
Can you describe a recent major feature or improvement delivered by the team?
Why ask this? Helps you understand the impact and scope of the team's work.
How does the team collaborate with other product or infrastructure teams at MongoDB?
Why ask this? Assesses cross-team interaction and integration challenges.
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