Senior Full-Stack Engineer: React/Angular + AI-Ready Backend

Infosys; Al Khobar; On-site; SAR 180,000 - 260,000; Full time

Benefits offered by this job

Restaurant

Health and wellness options

Job summary

Infosys in Dammam, Saudi Arabia is seeking a seasoned Full Stack Developer to design and build scalable web applications using React.js/Angular and .Net, with Python backend services. You will work across UI and backend layers in enterprise environments.

Collaborate with data scientists to operationalize GenAI outputs, implement secure RBAC, and deploy via OpenShift/Kubernetes, while contributing to UI/UX improvements and production support.

Qualifications

• 4+ years of experience as a Full Stack Developer in enterprise environments.
• Strong hands-on expertise in React.js and/or Angular, .Net backend, HTML5/CSS3, JavaScript/TypeScript, and Python.
• Experience with RESTful APIs and Microservices architecture.

Responsibilities

• Design and develop scalable full-stack web apps with modern frontend and robust backend.
• Build responsive UI components using HTML5/CSS3 with cross-device compatibility.
• Develop backend services and RESTful APIs using Python and microservices.
• Integrate frontend with backend APIs, AI/GenAI services, and deployments on OpenShift/Kubernetes.
• Implement RBAC and secure access controls.
• Collaborate with Data Scientists to operationalize GenAI/ML outputs.
• Contribute to UI/UX enhancements and ensure seamless user journeys.
• Participate in deployment, containerization, hosting, monitoring and production support.
• Prepare technical docs including UI architecture, API contracts, deployment artifacts.

Skills

React.js

Angular

.NET

Python

JavaScript/TypeScript

RESTful APIs

Microservices

Tools

OpenShift/Kubernetes

Job description

Infosys in Dammam, Saudi Arabia is seeking a seasoned Full Stack Developer to design and build scalable web applications using React.js/Angular and .Net, with Python backend services. You will work across UI and backend layers in enterprise environments.

Collaborate with data scientists to operationalize GenAI outputs, implement secure RBAC, and deploy via OpenShift/Kubernetes, while contributing to UI/UX improvements and production support.