About the RoleWe're looking for a Software Engineer 3 to join the Voyage Control Plane team. In this role, you will build the management and orchestration layer that enables thousands of developers to use Voyage's embedding and reranking models within the MongoDB Atlas ecosystem.
You will collaborate closely with the Voyage Inference Platform engineers, ML researchers, and broader Atlas teams to deliver cloud-first and developer-first experiences. Your work ensures that adopting AI models is as reliable and user-friendly as the core database experience itself.
As a Software Engineer 3, you will focus on building secure, multi-tenant systems that handle identity, governance, and billing for our AI offerings. You will own key components of the control plane infrastructure, ensuring seamless integration with the Atlas ecosystem.
This role is based in Palo Alto, CA or Seattle, WA with an in-office or hybrid work model.
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
Why Join Us- Be part of building the customer experiences of AI offering of the world's most popular developer data platform
- Tackle complex problems in multi-tenancy, governance, and resource orchestration while ensuring that Control Plane stability remains independent of Data Plane inference performance
- Work in a culture that emphasizes mentorship, ownership, and technical excellence
MongoDB's base salary range for this role in the U.S. is:
$106,000-$209,000 USD
