Software Engineer 3

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.

You’ll join the broader Search and AI Platform organization and collaborate closely with the engineers building Voyage’s first-party inference. Together, we’re extending that platform across cloud marketplaces, third-party inference providers, and self-managed deployments so customers get the same Voyage models, beh...

As a Software Engineer 3, you'll focus on building the systems, tooling, and deployment workflows that power third-party model delivery. You'll own key components of how Voyage models are packaged, validated, and deployed, work across teams to ensure tight integration with the core inference platform, and contribute...

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

4+ 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
Experience productionizing or deploying ML model servers or inference runtimes (e.g., vLLM, Triton, TGI)
Experience with observability stacks like Prometheus, Grafana, or OpenTelemetry
Experience shipping software through cloud marketplaces or partner / self-managed channels
Contributions to open-source infrastructure for ML serving or deployment