Software Engineer 3

2+ years of experience building backend or infrastructure systems at scale

Strong software engineering skills in languages such as Go, Rust, Python, or C++, with an emphasis on performance and reliability

Experienced in cloud-native architectures, distributed systems, and multi-tenant service design

Familiar with concepts in ML model serving and inference runtimes, even if not directly deploying models

Knowledge of vector search systems (e.g., Faiss, HNSW, ScaNN) is a plus

Comfortable working across functional teams, including ML researchers, backend engineers, and platform teams

We’re looking for a Software Engineer 3 to help build the next-generation inference platform that supports embedding models used for semantic search, retrieval, and AI-native experiences in MongoDB Atlas.

You’ll join the broader Search and AI Platform organization and collaborate with ML researchers and engineers from our Voyage.ai acquisition. Together, we’re building infrastructure for real-time, low-latency, and high-scale inference — fully integrated with Atlas and designed for developer-first experiences.

As a Software Engineer 3, you'll focus on building core systems and services that power model inference at scale. You'll own key components of the infrastructure, work across teams to ensure tight integration with Atlas, and contribute to a platform designed for reliability, performance, and ease of use.

This role is based in Palo Alto, CA or Seattle, WA with an in-office or hybrid work model.

Design and build components of a multi-tenant inference platform integrated directly with MongoDB Atlas, supporting semantic search and hybrid retrieval

MongoDB 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. MongoDB’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, MongoDB 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—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our

Leadership Commitment,

guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone.