Note: The job is a remote job and is open to candidates in USA. Bond Studio is a team of engineers and designers building spatial intelligence software for commerce and design. They are hiring a Founding Backend Engineer to own the architecture and implementation of APIs and infrastructure supporting their web and mobile platform, defining the technical direction of the backend.

Responsibilities

• Own the architecture and implementation of APIs and backend services that support all web and mobile product features
• Design and evolve database schemas with durability, scalability, and long-term data change patterns in mind
• Provision and manage cloud infrastructure using infrastructure-as-code (Pulumi, Terraform, or equivalent)
• Instrument services for observability and own debugging when failures occur in production
• Architect and implement collaborative editing with history tracking, multi-tenant data isolation, and computer vision compute pipelines
• Set up and maintain CI/CD pipelines
• Make principled decisions across eventing systems, search, async tasks, workflow engines, and data warehousing as the platform grows

Skills

• Deep, hands-on experience designing and implementing backend services — not just what you can get from an LLM, but real lived experience building and operating these systems
• Ability to reason in detail about API design philosophies including REST, GraphQL, Protobuf, JSONRPC, and MCP — including their tradeoffs and appropriate use cases
• Strong database fundamentals including schema design, query execution plans, indexing strategies, and familiarity with internal data structures such as ART, LSM-trees, and skip lists
• Working knowledge of cloud infrastructure including networking concepts like load balancers, NAT gateways, and VPCs
• Experience provisioning infrastructure through IaC tools such as Pulumi, Terraform, CDK, or CloudFormation
• Experience setting up or modifying CI/CD pipelines
• General fluency across common backend architecture patterns including search, eventing systems, async tasks, workflow engines, and data warehouses
• Experience building collaborative editing or real-time multi-user systems
• Experience with multi-tenant architecture at scale
• Familiarity with compute infrastructure for running computer vision or ML models in production

Company Overview