Senior Backend Engineer - AI Model Deployment & Platforms

MongoDB Inc.; Sydney; Hybrid; AUD 150,000 - 210,000; Full time

Benefits offered by this job

Hybrid work in Sydney

Job summary

MongoDB is seeking a Software Engineer 3 in Sydney to help scale Voyage’s embedding models and AI-driven experiences across cloud and self‑managed deployments. You’ll own packaging, validation, and deployment workflows from model servers to production surfaces, ensuring reliability and observability across environments.

You’ll work with Voyage’s inference platform and cross‑team partners to deliver consistent behavior in AWS, Azure, GCP, and beyond, with a strong emphasis on performance and

Qualifications

• 4+ years building backend, infrastructure systems, CI and build tooling.
• Strong software engineering skills in Python or Go, with 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, config, and external dependencies.
• Familiar with ML model serving concepts and inference runtimes.
• Clear communication and ability to work across teams on ambitious deployments.

Responsibilities

• Port and tune the model server that runs Voyage embedding and reranking models, improving inference performance.
• Productionize new Voyage models for delivery beyond first‑party Atlas across AWS, Azure, GCP and more.
• Design validation to prove third‑party deployments match first‑party behavior.
• Build observability into surfaces: logging, metrics, diagnostics, health checks (Prometheus, OpenTelemetry).
• Debug issues spanning model servers, containers, deployment config, and partner cloud environments.
• Collaborate with Voyage model-serving teams and partners on external deployments.

Skills

Backend engineering

Python

Go

Kubernetes

Cloud environments

Performance & reliability

Tools

Docker

Prometheus

OpenTelemetry

Grafana

Job description

MongoDB is seeking a Software Engineer 3 in Sydney to help scale Voyage’s embedding models and AI-driven experiences across cloud and self‑managed deployments. You’ll own packaging, validation, and deployment workflows from model servers to production surfaces, ensuring reliability and observability across environments.

You’ll work with Voyage’s inference platform and cross‑team partners to deliver consistent behavior in AWS, Azure, GCP, and beyond, with a strong emphasis on performance and