Senior Laravel Engineer - Remote, AI-Driven Platform

LaraBench; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Fully remote

Job summary

Skarn Associates is seeking a Senior Laravel Software Engineer to own features from design to deployment across a Laravel backend and a mixed frontend stack. You will help deliver AI-enabled data products for the mining and metals industry, with a focus on quality, security, and maintainability.

You will mentor engineers, influence technical standards, and collaborate with product and data teams to translate requirements into robust, scalable solutions.

Qualifications

• Extensive practical Laravel development experience.
• Experience across a mixed frontend stack: Tailwind, Alpine.js, Bootstrap, jQuery.
• Strong JS fundamentals and API design knowledge.
• Experience with authentication integrations (OAuth2, SSO, SAML).
• Experience using AI coding assistants in daily development.
• Excellent communication and stakeholder collaboration.

Responsibilities

• Lead design and development of enhancements across the Laravel platform.
• Collaborate with product and data teams to translate requirements into robust solutions.
• Set architectural direction and influence technical standards.
• Write clean, well-tested code and review peers.
• Leverage AI-assisted tooling to improve delivery quality and pace.
• Support CI/CD, testing and deployment practices.
• Mentor engineers and foster a collaborative culture.

Skills

Strong JavaScript fundamentals

Excellent communication

Mentor engineers

Tools

Laravel

Tailwind

Alpine.js

Bootstrap

jQuery

OAuth2

SSO

SAML

Claude

Copilot

Job description

Skarn Associates is seeking a Senior Laravel Software Engineer to own features from design to deployment across a Laravel backend and a mixed frontend stack. You will help deliver AI-enabled data products for the mining and metals industry, with a focus on quality, security, and maintainability.

You will mentor engineers, influence technical standards, and collaborate with product and data teams to translate requirements into robust, scalable solutions.