In this role you will embark on a large-scale, multi-year modernization initiative to transform a legacy monolithic PHP application into a modern, microservice-oriented architecture hosted on AWS. Your role as a Web Developer will bring deep experience in API-driven development, AWS cloud infrastructure, and modern DevOps practices to help drive this transformation.
In this role, you will help Docplanner move towards their vision: patients have easy, universal access to their health data through an insights-driven experience that helps them live healthier, longer lives. As a Backend Engineer on the Medical Records team, you will work on distributed systems by developing core products within the Patient Engagement area. The Medical Records team is responsible for engaging patients to save their medical documents in the patient app and integrating the patient app with medical software and EHR systems.
Your day-to-day work will be focused on creating new and maintaining existing PHP applications. Docplanner expects you to bring in some innovative ideas to the team, share your knowledge, and support them in solving daily challenges. The team is highly cohesive and values honesty, directness, and mutual trust within the team. Together, they maintain a positive work environment, mutual support, and professional growth.
We are looking for a Senior PHP Developer who loves coding, solving interesting problems, and being part of something truly impactful. As part of our remote team, you will use software like PHP 8.3, Laravel 11, and PostgreSQL, while being committed to continually improving our codebase and reducing legacy code. The DevOps team handles infrastructure so you can focus on development.
Design and implement scalable components using Symfony/Laravel and PHP 8.3. Manage MongoDB data models, develop and maintain RESTful APIs, and integrate payment gateways. Optimize MongoDB queries, implement Redis for caching, and maintain Bootstrap 5-based UI. Work with third-party APIs, follow security best practices, and deploy containers using Docker and AWS.