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