Senior Full-Stack Engineer: AI-Powered Cloud Apps

Robotic Technologies Automation; Pennsylvania; On-site; USD 120,000 - 170,000; Full time

Job summary

Robotic Technologies Automation in Pennsylvania seeks a seasoned Senior FullStack Developer to design, develop, and maintain scalable enterprise applications with a secure, high-performance architecture.

You will lead full-stack development, build RESTful APIs, and modernize legacy systems while leveraging AI-powered tooling (GitHub Copilot, OpenAI/ChatGPT, Claude) and cloud platforms to boost productivity and code quality. Strong DevOps focus and data engineering are expected.

Qualifications

• Bachelor’s degree in CS/SE/IT or equivalent practical experience.
• Extensive hands-on experience building enterprise web applications.
• Proven ability to design scalable, secure, performance-focused systems.

Responsibilities

• Lead full-stack development across front-end and back-end teams.
• Design and implement RESTful APIs, microservices, and events.
• Apply SOLID, design patterns, and clean architecture to enterprise apps.
• Modernize legacy apps and integrate with cloud platforms.
• Drive AI-powered development, testing, and automation workflows.
• Provide technical leadership, code reviews, and mentoring.

Skills

Full stack development

Cloud-native

API design

Agile / mentoring

Performance optimization

Education

Bachelor's degree in CS/SE/IT or equivalent

Tools

GitHub Copilot

ChatGPT/OpenAI

Claude

Cursor / Windsurf

Azure AI Foundry / Azure OpenAI

Azure DevOps

GitHub Actions

Docker

Kubernetes

SQL Server

Dynamics 365 / Salesforce / SAP / Oracle

Job description

Robotic Technologies Automation in Pennsylvania seeks a seasoned Senior FullStack Developer to design, develop, and maintain scalable enterprise applications with a secure, high-performance architecture.

You will lead full-stack development, build RESTful APIs, and modernize legacy systems while leveraging AI-powered tooling (GitHub Copilot, OpenAI/ChatGPT, Claude) and cloud platforms to boost productivity and code quality. Strong DevOps focus and data engineering are expected.