Automation Engineer based in Clearwater, Florida, United States, on-site. You will lead end-to-end project delivery, including requirements gathering, system architecture, prototyping, production deployment, and ongoing iteration. You will design and build company-owned internal software, data pipelines, and integrations to replace Excel as an operational backbone. Translate ambiguous business needs into clear functional and technical specifications, select appropriate tools and architectures, and deliver scalable, maintainable solutions. Develop robust, efficient systems with validation and testing to ensure accuracy. Drive execution and delivery, shipping improvements quickly and iterating based on feedback. Replace manual workflows with production software. Build internal web apps, APIs, and automation services that users adopt. Create durable data foundations with relational schemas, migrations, and single-source-of-truth datasets for analytics and operations. Operationalize ML when needed, using pre-trained models for classification, extraction, routing, forecasting, etc., and fine-tune/train on company data with monitoring. Proficiency in at least one backend language (Python, TypeScript/Node.js, or C#/.NET). Build automation/services that handle data, integrate APIs, and run reliably in production. Strong SQL and relational fundamentals; build and consume REST APIs; solid software engineering fundamentals; Git workflow; clear technical communication. Familiar with frameworks such as FastAPI, Flask, Django, ASP.NET Core, NestJS or Express; data pipeline orchestration

Automation Engineer based in Clearwater, Florida, United States, on-site. You will lead end-to-end project delivery, including requirements gathering, system architecture, prototyping, production deployment, and ongoing iteration. You will design and build company-owned internal software, data pipelines, and integrations to replace Excel as an operational backbone. Translate ambiguous business needs into clear functional and technical specifications, select appropriate tools and architectures, and deliver scalable, maintainable solutions. Develop robust, efficient systems with validation and testing to ensure accuracy. Drive execution and delivery, shipping improvements quickly and iterating based on feedback. Replace manual workflows with production software. Build internal web apps, APIs, and automation services that users adopt. Create durable data foundations with relational schemas, migrations, and single-source-of-truth datasets for analytics and operations. Operationalize ML when needed, using pre-trained models for classification, extraction, routing, forecasting, etc., and fine-tune/train on company data with monitoring. Proficiency in at least one backend language (Python, TypeScript/Node.js, or C#/.NET). Build automation/services that handle data, integrate APIs, and run reliably in production. Strong SQL and relational fundamentals; build and consume REST APIs; solid software engineering fundamentals; Git workflow; clear technical communication. Familiar with frameworks such as FastAPI, Flask, Django, ASP.NET Core, NestJS or Express; data pipeline orchestration