Job Title

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 handson or academic experience in the database domain Position Expectations Be directly responsible for delivering on goals which span a 618 month timeframe Play a key role in defining the roadmap for the next 12 months Write welltested, productionready code in C++ (our test infrastructure also leverages Python and Javascript) Research stateoftheart query systems to inform our design Leverage deep knowledge of the strength and weakness of the product and of industry trends to provide technical vision and direction Advise management on decisions related to roadmap, processes, architecture and design Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives Influence and grow team members through active mentoring, coaching and leading by example Help cultivate a strong talent bench through interviewing, mentoring and knowledge sharing Success Measures In three months youll 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 longterm goals for the system In six months, youll 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 longterm technical roadmap of the MongoDB Query team Join the MongoDB Server Query Integration team, and help us build a worldclass distributed opensource database. Our team plays a crucial role in the experience and performance of data processing. We are responsible for building userfacing features on top of the core query engine and helping to integrate query with other products in the MongoDB ecosystem. This includes enhancing our timeseries product, extending language support for analytics, helping grow our Atlas Search and Vector Search products with database support and adding workload telemetry to provide greater insight into how our database is used. We have tons of interesting problems to solve with a direct impact on users for transactional, timeseries, lexical and vector search and analytical workloads. The team is endeavoring to systematically rewrite every major component of our optimization and execution systems. 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 the United States or Canada for our hybrid working model. 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. MongoDBs unified database platformthe most widely available, globally distributed database on the markethelps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloudnative platform, MongoDB Atlas, is the only globally distributed, multicloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customersincluding 75% of the Fortune 100 and AInative startupsrelying on MongoDB for their most important applications, were powering the next era of software. Our compass at MongoDB is our Leadership Commitment (how and why we make decisions, show up for each other, and win. Its what makes us MongoDB. To drive the personal growth and business impact of our employees, were 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 its 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. MongoDBs base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDBs total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fullypaid genderneutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDBs base salary range for this role in Canada is: $159,000$221,000 CAD #J-18808-Ljbffr