2 months ago
Sydney, AustraliaSenior
Responsibilities
- Port and tune model servers for Voyage embedding and reranking models across deployment environments.
- Productionize Voyage models by owning packaging, configuration, and deployment workflows across AWS, Azure, GCP, cloud marketplaces, and self-managed channels.
- Design correctness, correlation, and performance validation to ensure third-party deployments match first-party behavior.
- Implement structured logging, metrics, diagnostics, health checks, and other operational capabilities.
- Debug issues across application code, runtimes, model servers, containers, configuration, partner cloud environments, and external dependencies.
- Collaborate with model-serving teams and partner with GTM, solutions architects, technical services engineers, and strategic customers on external deployments.
Requirements
- At least 4 years of experience building backend systems, infrastructure systems, CI tooling, or build tooling.
- Strong software engineering skills in Python or Go, with an emphasis on performance and reliability.
- Experience with AWS, Azure, or GCP, as well as containers and Kubernetes.
- Ability to debug across code, runtime, model servers, configuration, and external dependencies.
- Familiarity with ML model serving and inference runtimes.
- Clear communication and effectiveness in ambitious, cross-team environments.
- Preferred experience productionizing or deploying ML model servers or inference runtimes such as vLLM, Triton, or TGI.
- Preferred experience with observability tools such as Prometheus, Grafana, or OpenTelemetry.
- Preferred experience shipping software through cloud marketplaces or partner and self-managed channels.
- Contributions to open-source infrastructure for ML serving or deployment are preferred.
Benefits
- Hybrid working model for candidates based in Sydney.
- Supportive and enriching culture focused on employee growth and wellbeing.
- Employee affinity groups, fertility assistance, and generous parental leave policy.
- Work alongside Voyage’s ML and platform teams on a high-visibility model delivery platform.
- Necessary accommodations are available during the application and interview process.
Tech Stack
About MongoDB
MongoDB builds the MongoDB document database and the MongoDB Atlas cloud database service for application developers and enterprises. Its business model centers on cloud consumption (Atlas), commercial subscriptions, and support, with tooling for migration, synchronization, and disaster recovery across on‑prem and multi‑cloud environments. Founded in 2007 and headquartered in New York, it is a public company listed on NASDAQ and widely used across industries worldwide.