8 Rldatix Back-End Developer Jobs Hiring Near You

Own backend-heavy, full-stack feature development across OneSource — writing PHP application code, MySQL data work, API integrations, and targeted frontend fixes — in order to deliver both new capabilities and technical maintenance in a roughly 50/50 balance 

Trace behavior through a layered, framework-based application (October CMS on Laravel and Symfony) — navigating event- and hook-driven workflows, indirect code paths, and rich data relationships — in order to independently deliver features at the component level 

Design and evolve search, integration, and API touchpoints (OpenSearch/ElasticSearch and third-party APIs) to keep the platform reliable and performant as data volumes and use cases grow 

Diagnose and resolve moderately complex issues across the application, data layer, and automated deployment pipelines — troubleshooting failures well enough to remediate or direct escalation appropriately 

Contribute to modernization initiatives as the roadmap matures — including frontend modernization into a decoupled SPA architecture, Python-based AI pipelines and product integrations, and infrastructure evolution — using AI development tools pragmatically while maintaining ownership of technical decisions and code quality 

4–6+ years of professional software development experience with strong PHP and MySQL capability (MySQL proficiency is essential — candidates without it will struggle in this role) 

Proven success working in layered MVC frameworks with complex, event- or hook-driven behavior (Laravel, Symfony, October CMS, or comparable framework-based applications — not simply isolated scripts or lightweight SPAs) 

In-depth knowledge on how to inherit and improve complex business applications — untangling relational data models, workflow-heavy systems, integrations, search, and legacy-to-modernization efforts 

Cloud and infrastructure fluency, especially Kubernetes (the environment runs on Kubernetes in AWS, with infrastructure managed as code through Terraform in Git); comparable cloud experience beyond AWS is welcome 

Practical Python experience supporting automation, AI, or backend services (dedicated AI specialization not required, but Python fluency is important) 

Ability to commute to the Lehi office for occasional collaboration; travel expected 0–5% for offsites, training, or planning sessions 

Sincere interest in building software that directly improves patient safety, and comfort translating a complex internal data model into a simple external user experience 

A knack for working self-directedly on a small, lean team — reviewing documentation, asking targeted questions, and delivering without close handholding 

Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience. Docker, Terraform, OpenSearch/ElasticSearch, automated CI/CD, and AI integration or agent-building experience are strong pluses but not required