Senior Backend Architect for AI Automation (Remote)

Hubs.is; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Stock options

Remote-friendly

Job summary

Hubs seeks a Senior Backend Engineer to lead the core AI automation platform, taking on architectural responsibilities and shaping how we scale and deploy. This hands-on role blends speed with long-term stability and requires strong technical leadership.

You will design distributed systems, optimize real-time workloads, and collaborate with frontend, product, and DevOps teams to deliver reliable, scalable services that power AI-first collaboration.

Qualifications

• 5+ years backend development focusing on data systems and high-traffic apps.
• Experience productizing software from early development through scale-out.
• Strong English communication for remote collaboration.
• Pragmatism: balance fast delivery with long-term stability.
• Deep experience with distributed systems, scaling patterns, microservices, cloud infra.

Responsibilities

• Design, build, and optimize backend services for real-time AI workloads.
• Architect distributed systems with scalable instrumentation.
• Improve performance of streaming data, event-driven communications, and microservices.
• Collaborate with frontend, product, and DevOps teams for seamless integration.
• Architect for scale and efficiency across logic, network, and database layers.
• Lay foundations for high-quality distributed services as we scale.

Skills

Backend engineering

Node.js

TypeScript

Python

Distributed systems

APIs

DevOps

Observability

Education

Bachelor's degree in Computer Science

Tools

Nest.js

Express

PostgreSQL

MongoDB

Docker

GCP

Datadog

Job description

Hubs seeks a Senior Backend Engineer to lead the core AI automation platform, taking on architectural responsibilities and shaping how we scale and deploy. This hands-on role blends speed with long-term stability and requires strong technical leadership.

You will design distributed systems, optimize real-time workloads, and collaborate with frontend, product, and DevOps teams to deliver reliable, scalable services that power AI-first collaboration.