Staff Software Engineer, Query

MongoDB; Canada; Remote; CAD 100,000 - 130,000; Full time

Job summary

Join a leading company as a Senior Database Engineer, where you will enhance MongoDB's distributed open-source database. Work on user-facing features, optimize query systems, and contribute to a culture of growth and support. This role offers flexibility in location, with options for remote work in the US or Canada.

Benefits

fertility assistance

generous parental leave policy

Qualifications

• 10+ years of experience in data management systems.
• Experience with building production-level code with a large user base.

Responsibilities

• Deliver on goals spanning a 6-18 month timeframe.
• Define the roadmap for the next 12 months.
• Collaborate with stakeholders and engineering teams.

Skills

data management systems

database query engines

software design

Education

Degree in Computer Science

Tools

C++

Job description

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 Integration team, and help us build a world-class distributed open-source database. Our team plays a crucial role in the experience and performance of data processing. We are responsible for building user-facing features on top of the core query engine and helping to integrate query with other products in the MongoDB ecosystem. This includes enhancing our time-series 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 a presence across the US and in-office presence in New York and Seattle. We support office-based and remote work and align projects with convenient work hours for each time zone.

We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, 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.

This role can be based out of our NYC headquarters, office hub locations, or remotely in the United States or Canada.

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

• Be directly responsible for delivering on goals which span a 6-18 month timeframe
• Play a key role in defining the roadmap for the next 12 months
• Research state-of-the art 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 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.

MongoDB’s base salary range for this role in Canada is: