Software Engineer 3, Query Integration

MongoDB

Remote

Quick summary

Work type: Remote
Location: Canada
Salary: $122,000–$170,000 / yr
Posted: 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $170k

This role $146k

$110k most similar roles pay here $212k

This role pays less than 72% of similar roles. Most pay $144,262–$196,000 — the shaded band above. At the midpoint, this role pays about $146k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

About MongoDB

MongoDB is a leading American software company that develops and provides commercial support for a popular, source-available document database. Designed to handle unstructured and structured data natively, its platform is purpose-built for modern cloud applications, analytics, and AI experiences.

MongoDB currently has 164 open roles on FindRole.

Listed pay typically runs $126,000–$209,000 across 54 roles with salary data.

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View all roles at MongoDB

At a glance

TL;DR · Software Engineer 3, Query Integration

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As a Mid-Level Software Engineer on the Query Integration team at MongoDB, you will work closely with peers to develop and scale new query capabilities for time-series, Atlas Search, and Vector Search products. Your day-to-day responsibilities include contributing high-quality code in C++, building comprehensive testing suites using Python and JavaScript, and resolving complex performance issues through diagnostics. You will gain a deep understanding of the MongoDB query engine while working on cutting-edge features that enhance the database's analytical language capabilities and scalability. The team values engineering excellence and continuous learning, operating within a dynamic environment where you can grow both technically and professionally. Ideal candidates have 3+ years of programming experience, solid computer science fundamentals, and hands-on experience with large codebases in C++, though direct database experience is not mandatory.

Skills

C++ Python JavaScript CI/CD Docker Kubernetes MongoDB PostgreSQL Git Linux REST JSON SQL NoSQL Time-Series_Databases Vector_Search Atlas_Search Cloud_Platforms DevOps

What you'll do

Develop and scale new query capabilities for time-series, Atlas Search, and Vector Search products.
Write high-quality, maintainable code in C++ to enhance the MongoDB query engine.
Build comprehensive testing suites using Python/JavaScript to ensure robustness of features.
Identify and resolve complex performance issues through diagnostics and analysis.
Collaborate with peers on designing, implementing, and supporting technical solutions.

What we're looking for

3+ years of experience in computer programming
Solid understanding of data structures, algorithms, and software design/architecture
Experience with large code bases, preferably in C++
Hands-on experience building industrial-strength software
Interest or experience in database query engines (M.Sc./Ph.D. a plus)
B.Sc. in Computer Science or equivalent practical experience
Strong skills in Python/JavaScript for testing and diagnostics