The opportunity
We’re looking for a Software Engineer 3 to help bring Voyage’s embedding models - used for semantic search, retrieval, and AI-native experiences; to the platforms and environments where customers already run their workloads, beyond first-party MongoDB Atlas.
What you'll do
Port and tune the model server that runs Voyage embedding and reranking: models: improving inference performance, consistency, and runtime behavior across environments
Productionize new Voyage models for delivery beyond first-party Atlas, owning: the packaging, configuration, and deployment workflows that get them running on AWS, Azure, GCP and more
Design correctness, correlation, and performance validation that proves: third-party deployments match first-party behavior
Build operability into every surface: structured logging, metrics, diagnostics, and health checks with tools like Prometheus and OpenTelemetry
Debug problems that span model servers, containers, deployment configuration, and partner cloud environments
Work alongside Voyage's model-serving teams, and partner with GTM, SAs, TSEs,: and strategic customers on the hardest external deployments
What they're looking for
- + years building backend, infrastructure systems, CI and build tooling
- Strong software engineering skills in languages such as Python or Go, with an: emphasis on performance and reliability
- Experience with cloud environments (AWS, Azure, or GCP), containers, and Kubernetes
- Comfortable debugging across the stack: code, runtime, model servers, configuration, and external dependencies
- Familiar with concepts in ML model serving and inference runtimes, even if not directly deploying models
- You communicate clearly and do well in ambitious, cross-team work
- Motivated to get Voyage's AI models running reliably wherever customers want them
