Software Engineer 3, Query Integration

MongoDB

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $106,000–$209,000 / yr
Posted: 3 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k

This role $158k

$94k most similar roles pay here $221k

This role pays more than 50% of similar roles. Most pay $144,350–$196,825 — the shaded band above. At the midpoint, this role pays about $158k versus about $171k 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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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 C++ code to enhance the MongoDB query engine, building comprehensive testing suites in Python/JavaScript, and resolving complex performance issues through diagnostics. You will also engage in constructive feedback during code reviews and mentor junior team members as you grow into a more senior role. This position requires solid computer science fundamentals, experience with large code bases, ideally in C++, and hands-on software development skills. The team values engineering excellence and continuous learning, working on cutting-edge features that power MongoDB’s high-growth products.

Skills

C++ Python JavaScript CI/CD PostgreSQL MongoDB Kubernetes Docker Git Linux REST JSON YAML Swagger GraphQL Time-Series_Database Vector_Search Atlas_Search

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.
Implement diagnostics tools to identify and resolve complex query performance issues.
Collaborate with peers on designing, implementing, and supporting technical solutions.

What we're looking for

3+ years of experience in computer programming and software development.
Strong background in data structures, algorithms, and software design/architecture.
Experience with large code bases, preferably in C++.
Hands-on experience building industrial-strength software systems.
Solid understanding of database query engines or related theoretical knowledge.
B.Sc. in Computer Science or equivalent practical experience required.
Interest and capability to contribute to the development of major new features.