Software Engineer 3, Voyage Control Plane

What You’ll Do

• Design and develop the Atlas Administration API and Infrastructure as Code (Terraform) providers to automate the lifecycle management of AI resources
• Collaborate closely with Atlas platform teams, Voyage Inference Platform engineers, and ML researchers to deliver seamless, developer-first experiences for embedding and reranking models
• Build and maintain customer-facing observability features, including real-time performance metrics (TPM/RPM) and usage tracking
• Contribute new features to and support the legacy Voyage platform (dash.voyageai.com) while facilitating the strategic migration of user experiences and account management to the Atlas AI Model APIs frontend (cloud.mongodb.com)
• Implement governance systems, including audit trails and actionable customer alerts for AI model usage
• Build and scale internal Ops dashboards to empower support, sales, and engineering teams to manage customer accounts effectively
• Develop and maintain robust billing pipelines that translate raw inference events into accurate invoices

Who You Are

• 2+ years of experience building distributed backend systems at scale
• Strong software engineering skills in languages such as Typescript, Go, Java, or Python, with an emphasis on availability and consistency
• Experienced in cloud-native architectures, distributed systems, and multi-tenant service design
• Experience with Docker, Kubernetes, and Cloud Native Computing is a plus
• Comfortable working across cross-functional teams, including ML researchers, inference engineers, and platform teams
• Passionate about building cloud-first and developer-first systems integrated into the MongoDB Atlas ecosystem

Nice to Have

• Knowledge of OpenAPI Specification, Swagger, gRPC, and Python FastAPI
• Proven track record of collaborating with product teams and cross-functional engineering teams
• Experience building multi-tenant control plane backends for an AI inference platform