Backend Engineer (TypeScript) (Fully Remote)

Aleroy; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Ownership of meaningful backend fees

Direct voice in technical decisions

Competitive compensation and incentive

Job summary

Aleroy is building a unified platform for high-performance AI inference, delivering scalable backend services. You will own backend components, design robust APIs, and work closely with product, frontend, and infra teams to push features from requirements into production.

The role emphasizes ownership and direct influence on technical decisions. Ideal candidates will have strong TypeScript/Node.js skills, experience with PostgreSQL, and familiarity with background jobs and external service

Qualifications

• Develop backend services using TypeScript and Node.js.
• Design and improve PostgreSQL schemas and queries.
• Collaborate with product, frontend, and infrastructure engineers.
• Take features from requirements to production.

Responsibilities

• Build APIs and services for the AI platform.
• Collaborate with product, frontend, and infrastructure engineers.
• Take features from requirements to production.
• Develop backend services using TypeScript and Node.js.
• Design and improve PostgreSQL schemas and queries.
• Integrate external services and handle background jobs.

Skills

TypeScript

Node.js

API design

PostgreSQL

Background jobs

Tools

Docker

Job description

• Build APIs and services for the AI platform.
• Collaborate with product, frontend, and infrastructure engineers.
• Take features from requirements to production.

Key Responsibilities:

• Develop backend services using TypeScript and Node.js.
• Design and improve PostgreSQL schemas and queries.
• Integrate external services and handle background jobs.

What We Offer:

• Ownership of meaningful backend features.
• Direct voice in technical decisions.
• Competitive compensation and performance incentives.

Aleroy

Aleroy is building a unified platform for high-performance AI inference, making it easier for companies to deploy and run AI models at scale. We work in small teams, collaborate directly, and focus on solving complex engineering challenges to build reliable, scalable AI infrastructure.