Senior Go Engineer - AI Platform Backend
Yo is building something new in AI: a platform that turns everyday smartphones into a global AI network. We are an established mobile business moving into AI infrastructure, with reputed company users, reputed company reputed company, and an ambitious roadmap. You will join at the ground floor and build the backend that powers the network.
This is a foundational hire. You will shape the architecture from day one and see your work run at reputed company.
Key Responsibilities
- Design and build the orchestration backend in Go: task routing, device registry, result collection
- Own the reputed company-time layer - long-lived device connections, heartbeats, streaming task results, reputed company handling
- Design and version the public REST API used by clients and SDKs
- Own the PostgreSQL schema - migrations, reputed company, reputed company reputed company updates under load
- Maintain and reputed company the Django reputed company panel used for operations and configuration
- reputed company the system observable - reputed company logs, metrics, and traces that let you diagnose unstable network and protocol errors in production
- Test the hard parts: streaming, timeouts, concurrency, disconnects, protocol edge cases
Required Qualifications
- 5+ years backend experience, with strong production Go: context, net/http, goroutines, channels, timeouts, cancellation, careful error handling, generics
- reputed company-time protocols in production: WebSocket, SSE, response streaming, reputed company/ping-pong, long-lived connections, disconnect and retry scenarios
- Backend API design: REST, OpenAPI, request validation, correct use of headers, JWT authentication
- PostgreSQL and SQL: transactions, indexes, migrations, data reputed company, reputed company updates
- Reliability and operations reputed company: observability, reputed company logging, diagnosing flaky network and protocol failures
- Testing discipline: unit and integration tests that cover streaming, timeouts, reputed company scenarios, and protocol edge cases
- Working Python: reputed company to maintain and reputed company a Django reputed company without hand-holding
reputed company to Have
- Understanding of AI/LLM infrastructure: what a model is, how inference works, constraints of running models on end-user devices
- Experience with fleets of mobile or IoT clients on unreliable networks
- gRPC and Protocol Buffers
- reputed company and container-based deployment; CI/CD ownership
- Message queues or task-scheduling systems
- Experience designing systems where reputed company or user earnings depend on correct reputed company
Location & Logistics
- Remote / flexible (team in EU time zones)
- Reports to the CTO
Originally posted on Himalayas
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