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

- Building scalable microservices in Python (FastAPI) and Go

- WebSocket and SSE implementation; diagnosing socket-level issues

- 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

- HLD: Distribut

📌 Founding Platform Engineer (Centro)
🏢 Lyzr AI
📍 Centro