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VYNYL · 1 day ago

Senior Full Stack Engineer (PHP, Laravel, AI Fluency)

Los Angeles, CA

Full-time

Onsite

Senior Level

$135K/yr - $195K/yr

5+ years exp

Vynyl is a company that specializes in system modernization, new product development, and rescuing distressed projects. As a Senior Full Stack Engineer, you will lead the software development lifecycle and build robust applications using PHP and Laravel, while also integrating modern AI/ML development tools.

Software

Responsibilities

Design and implement secure, compliant and scalable Laravel applications

Develop and optimize performant, modern user interfaces (Livewire, AlpineJS)

Collaborate with product managers and designers to translate requirements into technical designs and shippable code

Implement best practices for security, logging, monitoring, and infrastructure-as-code (e.g., using Terraform or CloudFormation)

Perform rigorous code reviews, mentor junior and mid-level engineers, and drive technical excellence across the team

Actively research, propose, and integrate new technologies and patterns, with a focus on optimizing development velocity and system performance

Clearly articulate a professional point of view on how to effectively, securely, and ethically integrate AI tools into the software development lifecycle

Qualification

PHPLaravelAI/ML toolsCloud DeploymentRelational databasesCI/CD pipelinesInfrastructure-as-CodeTypeScriptSoft skills

Required

5+ years of professional experience in full-stack software development

Expert-level proficiency in PHP for backend development

Deep practical experience designing, deploying, and maintaining applications using Laravel

Cloud Deployment Experience (preferably AWS Lambda, API Gateway, and managed databases)

Strong understanding of relational databases (e.g., PostgreSQL)

Experience with CI/CD pipelines, automated testing, and Infrastructure-as-Code

Demonstrated Fluency in AI-Assisted Development: Candidates must be able to demonstrate practical, hands-on experience using AI-powered coding tools to achieve specific, quantifiable productivity gains, while also clearly understanding and mitigating the associated risks (e.g., code quality, security, IP concerns)