Staff Backend Engineer — AI-Driven Architecture & Scale

Fuel Talent; New York (NY); On-site; USD 220,000 - 240,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Flexible vacation

Flat structure

Job summary

Fuel Talent in New York, NY is seeking a Staff Software Engineer (Backend) to architect and own delivery of complex backend systems. You will set technical direction, guide cloud infrastructure on AWS, and lead AI-powered development practices across teams.

The role emphasizes building scalable APIs, mentoring engineers, and collaborating with product, data, DevOps, and AI teams to deliver an AI-enhanced platform.

Qualifications

• 10+ years of software engineering experience with a backend focus.
• Strong system design and cloud infrastructure experience (AWS).
• Hands-on experience with relational databases and data modeling.
• Experience mentoring senior engineers.
• Delivery of large-scale production APIs.

Responsibilities

• Architect and own delivery of complex, high-impact backend systems spanning multiple teams.
• Set technical direction and coding standards for backend development across the organization.
• Design, develop, and deploy data-intensive applications in production.
• Drive adoption of AI coding tools and measure productivity gains.
• Mentor senior engineers and influence technical decisions without formal authority.
• Partner with cross-functional teams to build an AI-powered platform.
• Own testing strategy, observability, and build-versus-buy decisions for critical infrastructure.

Skills

Backend systems

System design

Mentoring

AI tooling

AWS

Tools

Docker

Kubernetes

PostgreSQL

GraphQL

Datadog

Airflow

Dagster

Kafka

AWS SQS

Kinesis

SDKs

Job description

Fuel Talent in New York, NY is seeking a Staff Software Engineer (Backend) to architect and own delivery of complex backend systems. You will set technical direction, guide cloud infrastructure on AWS, and lead AI-powered development practices across teams.

The role emphasizes building scalable APIs, mentoring engineers, and collaborating with product, data, DevOps, and AI teams to deliver an AI-enhanced platform.