Software Engineer (PHP/Laravel) at Salix Data

Job Description

• Design, develop, test, and maintain robust applications using PHP and the Laravel framework.
• Build and integrate RESTful APIs, third-party services, and external data sources.
• Design, optimize, and manage relational databases including MySQL and PostgreSQL.
• Identify and resolve performance bottlenecks, bugs, and scalability challenges.
• Write clean, reusable, and maintainable code following industry best practices.
• Develop and execute unit and integration tests to ensure application reliability and quality.
• Participate in code reviews and contribute to continuous improvement initiatives.
• Collaborate with product managers, designers, data engineers, and other developers to translate business requirements into technical solutions.
• Enhance and optimize system functionality, ensuring improved stability, performance, scalability, and user experience

Qualifications

Required

• 3-5 years of professional experience developing applications using PHP and Laravel.
• Strong expertise in relational database design, SQL optimization, indexing, and performance tuning.
• Proven experience building and consuming RESTful APIs and JSON-based services.
• Solid understanding of Object-Oriented Programming (OOP), MVC architecture, SOLID principles, and software design patterns.
• Experience using Git and modern version control workflows.
• Hands-on experience with testing tools such as PHPUnit, Pest, or similar frameworks.
• Strong problem-solving skills and attention to detail.

Preferred

• Familiarity with HTML5, CSS3, JavaScript, and modern frontend frameworks such as Vue.js, React, or Alpine.js.
• Experience with Redis, Memcached, or other caching technologies.
• Knowledge of queue management and background job processing using Laravel Queues, Horizon, RabbitMQ, or similar tools.
• Experience with Docker, containerization, and microservices architectures.
• Familiarity with cloud platforms such as AWS or DigitalOcean.
• Exposure to CI/CD pipelines and DevOps practices.
• Experience working with data-intensive or analytics-driven applications.