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- Tasks: Join us to enhance MongoDB's query execution engine and tackle exciting data challenges.
- Company: MongoDB empowers innovators with a leading developer data platform, trusted by top companies worldwide.
- Benefits: Enjoy remote work options, a supportive culture, and perks like parental leave and wellness programs.
- Why this job: Make a real impact on modern applications while collaborating with a global team of experts.
- Qualifications: 10+ years in data management, strong C++ skills, and a passion for database query engines required.
- Other info: This role is remote in the UK, with opportunities for mentorship and professional growth.
The predicted salary is between 48000 - 84000 £ per year.
Staff Software Engineer, Query Execution
Join to apply for the Staff Software Engineer, Query Execution role at MongoDB
Staff Software Engineer, Query Execution
1 week ago Be among the first 25 applicants
Join to apply for the Staff Software Engineer, Query Execution role at MongoDB
MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
Join the MongoDB Server Query Execution team, and help us build a world-class distributed open-source database. Our team plays a crucial role in the performance and efficiency of MongoDB\’s data processing. We are responsible for building and improving the core execution engine that powers all queries, taking a logical query plan produced by the optimizer and turning it into reality. This includes developing the physical operators for data retrieval and manipulation, improving the runtime for complex analytical and transactional workloads, and owning critical components like the Change Streams infrastructure. In addition to the core server, we support the query execution needs of other major products like Atlas Streams, Atlas Search and Vector Search, and mongosync, making our work vital to the entire MongoDB ecosystem.
You will be joining a globally distributed team with a significant presence in both Europe and North America. While this role is based in the EMEA region, you will regularly collaborate closely with colleagues across different time zones. We support both office-based work in our European hubs like Dublin and Barcelona, as well as remote work in several countries (including the Netherlands, Great Britain, Italy, Germany, Spain, and France).
We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. To meet the ever-increasing data demands of modern applications, we are actively evolving our query system; this includes strategically re-architecting and improving key components of our query execution engine. We need your help to design and build the core of a distributed, flexible schema document database.
This role will be based remotely in the UK.
Candidate Profile
- 10+ years of experience in data management systems
- Experience with building production-level code with a large user base, robust design structure and rigorous code quality
- Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture
- Experience with large code bases written in C++ or another systems programming language. You\’ll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system
- Passion for the theory and practice of database query engines, as well as hands-on or academic experience in the database domain
Position Expectations
- Play a key role in defining the 12-month roadmap for Query Execution by researching state-of-the-art systems and leveraging your deep knowledge of industry trends to provide technical vision and direction
- Take direct responsibility for delivering on long-term (6-18 month) goals to innovate in high-performance query execution and other areas of responsibility, co-ordinating initiative-level strategy and personally writing well-tested, production-ready C++ code
- Advise management on key decisions related to our architecture and processes, and collaborate with stakeholders across the company on large initiatives
- Influence and grow team members through active mentoring, coaching, and leading by example, helping to cultivate a strong talent bench through interviewing and knowledge sharing
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; You\’ll have learned about MongoDB\’s project lifecycle, and our long-term goals for the system
- In six months, you’ll have taken on code review responsibilities and are playing an active role in drafting and reviewing the design for new features. You have expanded the team\’s horizons by presenting a favorite paper or system architecture related to query systems.
- In twelve months, on the basis of your extensive past experience in the query space, you have contributed to the long-term technical roadmap of the MongoDB Query team
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: 2263199092
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Engineering and Information Technology
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Software Development
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Staff Software Engineer, Query Execution employer: MongoDB
Contact Detail:
MongoDB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Software Engineer, Query Execution
✨Tip Number 1
Familiarise yourself with MongoDB's products, especially the Query Execution team’s role in the ecosystem. Understanding how the query execution engine works and its impact on performance will help you articulate your insights during discussions.
✨Tip Number 2
Brush up on your C++ skills, as this is a key requirement for the role. Consider contributing to open-source projects or building your own small-scale applications to demonstrate your coding abilities and familiarity with production-level code.
✨Tip Number 3
Network with current or former employees of MongoDB through platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can be beneficial during interviews.
✨Tip Number 4
Prepare to discuss your experience with data management systems and query engines in detail. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will showcase your problem-solving skills and passion for the field.
We think you need these skills to ace Staff Software Engineer, Query Execution
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management systems and software design. Emphasise your 10+ years of experience and any specific projects that showcase your skills in C++ or similar languages.
Craft a Compelling Cover Letter: In your cover letter, express your passion for database query engines and how your background aligns with MongoDB's mission. Mention specific experiences that demonstrate your ability to innovate in high-performance query execution.
Showcase Technical Skills: Include a section in your application that details your technical competencies, particularly in data structures, algorithms, and software architecture. Highlight any hands-on experience you have with large code bases and production-level code.
Prepare for Technical Questions: Anticipate technical questions related to database systems and query execution during the interview process. Brush up on your knowledge of industry trends and be ready to discuss how you can contribute to MongoDB's long-term goals.
How to prepare for a job interview at MongoDB
✨Showcase Your Experience
With over 10 years in data management systems, be ready to discuss specific projects where you've built production-level code. Highlight your robust design structures and how you ensured code quality.
✨Demonstrate Your Technical Knowledge
Prepare to dive deep into your understanding of database query engines. Be ready to discuss algorithms, data structures, and any hands-on experience you've had with C++ or similar languages.
✨Understand MongoDB's Ecosystem
Familiarise yourself with MongoDB's products, especially the Query Execution team’s role. Knowing how your work will impact the broader ecosystem can set you apart from other candidates.
✨Prepare for Collaborative Scenarios
Since this role involves working with a globally distributed team, think of examples where you've successfully collaborated across time zones. Emphasise your communication skills and ability to mentor others.
