Founding Platform Engineer

About the Role


We're building a platform (architect.new) that lets anyone create, deploy, and manage autonomous AI agents with custom skills, tool integrations, and production-ready UIs. You'll work across backend, frontend, and infrastructure — reporting to the Product Architect.


What You'll Do

  • Build and maintain the core agent orchestration engine, skill execution, and state management
  • Develop the builder UI in Next.js for composing agents and workflows
  • Implement real-time communication layers (WebSockets, SSE) for live agent interactions
  • Own backend microservices in Python and Go
  • Design and optimize MongoDB schemas for multi-tenant, high-throughput workloads
  • Manage cloud infrastructure, deployments, and observability on AWS


Required Experience

Backend — Python & Go

  • Building scalable microservices in Python (FastAPI) and Go
  • WebSocket and SSE implementation; diagnosing socket-level issues
  • MongoDB at scale — sharding, indexing, replica sets
  • Authentication mechanisms — OAuth 2.0, JWT
  • Pub/Sub patterns and event-driven architecture
  • Queue management, state persistence, retry and dead-letter handling
  • Understanding of latency, networking, and distributed systems performance

Frontend — Next.js

  • CSR vs. SSR trade-offs and when to apply each
  • Diagnosing hydration issues
  • State management across client and server boundaries
  • Scalable component architecture
  • Deployment, reverse proxying, and build optimization

Infrastructure & Observability

  • ECS management and CloudWatch log aggregation
  • Cloud networking basics — VPCs, load balancers, security groups
  • Managed services — DocumentDB, Redis
  • SigNoz or similar observability tools

Version Control

  • Git workflows — branching strategies, PR reviews, conflict resolution
  • Repository management for microservice codebases

System Design

  • LLD: Design patterns, SOLID principles, API contract design
  • HLD: Distributed system architecture, service decomposition, scalability patterns, fault tolerance
  • Database Design: Schema modeling (SQL & NoSQL), indexing, query optimization, consistency trade-offs


Nice to Have

  • Experience with AI agent frameworks — tool use, skill orchestration, multi-step reasoning
  • LLM integration patterns — prompt chaining, function calling, structured outputs
  • Firecracker MicroVMs or E2B-style sandboxed execution environments
  • Sandbox isolation, security boundaries, and secure code execution
  • Agent memory and long-running task orchestration