Senior Backend Architect: AI-Driven, Scalable Systems Lead

engineeringjobs.net, Inc.; Los Angeles (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) with employer match

Professional development support

Caregiving support

Family planning support

Gender-affirming care

Mental health and coaching benefits

Flexible vacation

Paid volunteer time off

Paid parental leave

Restricted stock units

Job summary

engineeringjobs.net, Inc. seeks an experienced backend engineer to design and scale systems in Los Angeles. You will build scalable backend systems, APIs, and AI-powered tools to improve developer workflows, mentor engineers, and lead cross-functional projects.

You will have 5+ years in software development, 3 years in distributed systems, strong Go production experience, and cloud or infrastructure expertise.

Qualifications

• 5+ years of professional software development experience.
• 3 years on large-scale distributed systems.
• Strong Go production experience.
• Experience building reliable services, APIs, platforms, or developer tools.

Responsibilities

• Design and build scalable backend systems, APIs, and AI-powered tools.
• Lead cross-functional projects and integrate tools with existing systems.
• Mentor engineers while improving reliability, usability, and maintainability.

Skills

Go

Backend Engineering

Distributed Systems

API Design

Cloud Computing

CI/CD

Technical Leadership

Mentoring Engineers

Cross-team Leadership

AI-Powered Developer Workflows

Kubernetes

GraphQL

REST

gRPC

Developer Tooling

Infrastructure Engineering

Platform Engineering

Tools

Kubernetes

CI/CD Pipelines

GraphQL Tooling

Job description

engineeringjobs.net, Inc. seeks an experienced backend engineer to design and scale systems in Los Angeles. You will build scalable backend systems, APIs, and AI-powered tools to improve developer workflows, mentor engineers, and lead cross-functional projects.

You will have 5+ years in software development, 3 years in distributed systems, strong Go production experience, and cloud or infrastructure expertise.