Lead Engineer, Query

Engineering Manager
Be among the first 25 applicants.

We have tons of interesting problems to solve with direct impact on users for transactional, time-series, and analytical workloads. As we grow, we need engineering managers to help us structure the organization, improve technical processes, provide career mentorship, guide the product roadmap, and manage projects.

We are looking to speak to candidates who are based in New York City for our hybrid working model, or U.S. and Canada for our remote working model.

Candidate Profile

Experience 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

Proficient in C++ or a similar programming language

Experience managing small engineering teams

Passionate about running teams, mentorship, and coaching

Position Expectations

Manage a team of software engineers, ensuring their success and career growth, and facilitating their technical work

Make coding contributions to the team’s projects as needed

Provide feedback on architecture and design of new features

Help eliminate technical barriers, coordinate dependencies, and focus on overall team happiness

Contribute to planning for organizational growth, including resource allocation, hiring plans, and project assignments

Set team culture by example

Estimate delivery timelines and communicate project execution to upper management

Success Measures

In three months

Meet regularly with all team members and learn their interests, strengths, and development areas

Contribute to a project slated for the next major version of the Mongo

DB server, and fix bugs in a minor version

In six months

Participate in code and design reviews for new features

Identify skillset gaps and help fill them

Develop growth plans tailored to each team member’s career goals

In twelve months

Team has a track record of delivering new features

Clearly understand the longer-term roadmap and integrate a plan to achieve it with the team

Establish yourself as a leader so team members naturally seek guidance

About MongoDB
Mongo

DB 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.

Mongo

DB’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, Mongo

DB Atlas, is the only globally distributed, multi‑cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75 % of the Fortune 100 and AI‑native startups—Mongo

DB is powering the next era of software.

Our compass at Mongo

DB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture. From employee affinity groups to fertility assistance and generous parental leave, we value wellbeing and support our staff along every step of their professional and personal journeys.

Mongo

DB 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.

Compensation
Mongo

DB’s base salary range for this role in Canada is: $162,000–$225,000 CAD.

Job Details

Seniority level:
Mid‑Senior level

Employment type:

Full‑time

Job function:
Engineering and Information Technology

Industries:
Software Development

Mongo

DB is an equal opportunities employer.

Req. :

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