Software Engineer 3

MongoDB
Sydney
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 4+ yearsSkills: ["Clear communication","Cross-team collaboration","Ownership","Technical judgment","Debugging"]

Build and productionize systems that deliver Voyage embedding and reranking models beyond MongoDB Atlas, across AWS, Azure, GCP, and third-party/self-managed environments. You’ll port and tune model servers, design validation to ensure third-party deployments match first-party behavior, and add operability (logging, metrics, diagnostics, health checks) using tools like Prometheus and OpenTelemetry. Debug end-to-end deployment issues and collaborate with inference and partner teams.

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FursaFursa
MongoDB
MongoDB
14 hours ago

Software Engineer 3

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build and productionize systems that deliver Voyage embedding and reranking models beyond MongoDB Atlas, across AWS, Azure, GCP, and third-party/self-managed environments. You’ll port and tune model servers, design validation to ensure third-party deployments match first-party behavior, and add operability (logging, metrics, diagnostics, health checks) using tools like Prometheus and OpenTelemetry. Debug end-to-end deployment issues and collaborate with inference and partner teams.
Location: Sydney
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Port and tune the model server running Voyage embedding and reranking models to improve performance, consistency, and runtime behavior.
  • •Productionize new Voyage models for delivery beyond first-party Atlas, owning packaging, configuration, and deployment workflows on AWS, Azure, and GCP.
  • •Design correctness, correlation, and performance validation to prove third-party deployments match first-party behavior.
  • •Build operability into deployment surfaces with structured logging, metrics, diagnostics, and health checks using tools like Prometheus and OpenTelemetry.
  • •Debug issues spanning model servers, containers, deployment configuration, and partner cloud environments.

Key Requirements

  • •4+ years building backend and infrastructure systems, including CI and build tooling.
  • •Strong backend software engineering skills in languages such as 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, including code, runtime, model servers, configuration, and external dependencies.
  • •Familiar with ML model serving and inference runtimes, even if not directly deploying models.
Experience:4+ yearsAI-native experiencesSemantic searchRetrievalML model serving
Skills:Clear communicationCross-team collaborationOwnershipTechnical judgmentDebugging
Languages:English
Tech Stack:PythonGoAWSAzureGCPKubernetesContainersPrometheusOpenTelemetryGrafanaVLLMTritonTGIML model servingCI/CD

Company Brief

MongoDB
Develops MongoDB, a leading general-purpose, document-based database platform that enables developers and enterprises to build scalable, high-performance applications with flexible data models and cloud-native capabilities.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2007
Glassdoor
Glassdoor: 4.1
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