Software Engineer 3 at MongoDB

This role is ideal for a mid-level backend or infrastructure engineer (2+ years of experience) who wants to work at the intersection of distributed systems and Artificial Intelligence. You should be highly proficient in performance-oriented languages like **Go, Rust, or C++** and have experience building multi-tenant, cloud-native services. While you don’t need to be an ML researcher, you should understand how to productionize models and optimize infrastructure for GPU utilization and low-latency inference. The position offers a competitive salary range up to **$215,000**, plus equity and a comprehensive benefits package including 20 weeks of parental leave. You’ll be joining a high-impact team following the acquisition of Voyage.ai, giving you the chance to build core AI infrastructure used by thousands of global developers. The role offers a hybrid work model in tech hubs Palo Alto or Seattle. **You might be a good fit if you:** * Have a strong track record of building scalable backend systems in Go, Rust, or Python. * Are familiar with container orchestration (Kubernetes) and cloud-native architectures. * Want to work on "engine room" AI problems like latency-aware routing and vector search. * Thrive in collaborative environments, bridging the gap between ML research and production engineering.