← Back to results

Software Engineer 3

Join MongoDB's Server Query team to enhance a distributed open source query engine with a focus on performance and user impact.

Location
Dublin
Compensation
Not disclosed
Level
mid
Type
full time · Remote OK

Skills & Technologies

Requirements

Experience
3+ years
Education
Bachelor's degree

Benefits

Parental Leave Remote Work

Joblaze summary

In this role, the Software Engineer 3 will focus on enhancing the MongoDB query engine, tackling tasks from query parsing to execution. Key skills include a solid foundation in computer science, experience with large codebases, and familiarity with data-intensive environments, while knowledge of database systems is advantageous. This position is ideal for candidates with over three years of experience who are eager to contribute to a dynamic team solving complex problems in a fast-growing company.

Joblaze insights

Quick facts

Is the Software Engineer 3 role remote?
It's hybrid — MongoDB expects some on-site time in Dublin.
How much experience is required?
At least 3 years of relevant experience for this Software Engineer 3 role.
Where is the role based?
MongoDB is hiring for this position in Dublin.
What's the tech stack?
Joblaze extracted these technologies from the posting: MongoDB, database.
What seniority level is this role?
MongoDB targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Software Engineer 3 role at MongoDB.

From the original posting

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.

This role can be based out of our Dublin office or remotely within Ireland

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
  • In six months, you’ll have taken on code review responsibilities and are involved in reviewing the design for new features
  • 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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 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: 1273423068

Similar positions

MongoDB
Software Engineer 3 - Query Optimization
MongoDB · Atlanta; Boston; New York City
MongoDB
MongoDB
Staff Software Engineer, Query (Optimization)
MongoDB · Alberta; British Columbia; Manitoba; Nova Scotia; Ontario; Quebec
MongoDB