Software Engineer 3, Atlas Vector Search

MongoDB

Hybrid

Quick summary

Work type: Hybrid
Location: San Francisco, CA
Salary: $106,000–$209,000 / yr
Posted: 13 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $172k

This role $158k

$94k most similar roles pay here $222k

This role pays less than 56% of similar roles. Most pay $135,000–$209,375 — the shaded band above. At the midpoint, this role pays about $158k versus about $172k for comparable roles.

Based on 239 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 287 open roles on FindRole.

Listed pay typically runs $126,500–$209,000 across 104 roles with salary data.

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At a glance

TL;DR · Software Engineer 3, Atlas Vector Search

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Join the Vector Search team at MongoDB to build a cutting-edge vector database and implement new features within MongoDB's $vectorSearch aggregation operators. This role involves working cross-functionally with Product teams to define query syntax, identifying performance bottlenecks in nearest neighbor search, and leading projects while mentoring junior developers. Ideal candidates have 3+ years of experience in large-scale backend systems, proficiency in Java or another JVM language, a passion for optimization and problem-solving, and bonus points for experience with Apache Lucene, vector databases, or high-throughput web services. This position offers the chance to make a significant impact on a rapidly growing customer base by addressing complex performance challenges in a highly visible role.

Skills

Java MongoDB $vectorSearch Apache Lucene JVM Python Go Rust C++ Docker Kubernetes CI/CD Git Linux SQL NoSQL Performance Optimization Code Review Mentorship

What you'll do

Implement new features within MongoDB's $search and $vectorSearch aggregation operators.
Work with Product teams to define new query and index syntax for vector search.
Identify and address performance bottlenecks in filter queries and nearest neighbor searches.
Lead projects and own subsystems within the Vector Search team.
Perform code reviews, mentor junior developers, and review technical designs.

What we're looking for

3+ years of experience in large-scale backend systems development.
Proficient in writing high-performance applications using Java or a JVM language.
Strong problem-solving skills with a focus on optimization and code quality.
Experience leading projects, reviewing code, and mentoring junior developers.
Familiarity with Apache Lucene, vector databases, or high-throughput web services preferred.