Staff Software Engineer, Query Execution

Overview

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.

We have a globally distributed team with a significant presence in Europe and North America. This role is based in the EMEA region, and you will regularly collaborate with colleagues across different time zones. We support office-based work in 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 Spain.

Candidate Profile

Responsibilities

• Play a key role in defining the 12-month roadmap for Query Execution by researching state-of-the-art systems and leveraging your 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, 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
• Mentor, coach, and lead by example to grow the team through interviewing and knowledge sharing

Success Measures

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. We value our employees’ wellbeing and support them along their professional and personal journeys with programs like affinity groups, fertility assistance, and generous parental leave. 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 : Seniority level

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