Senior Full-Stack AI Engineer (Hybrid, Riyadh)

SoftwareOne; Riyadh; Hybrid; SAR 240,000 - 360,000; Full time

Benefits offered by this job

Global company culture

Mentor support

Training & development

Job summary

SoftwareOne is seeking a Senior Full-Stack Engineer in Riyadh, Saudi Arabia, blending backend and API development with AI-enabled enterprise solutions. You will design secure backend services, enable real-time data integration, and support containerized deployments using Docker/OpenShift/Kubernetes.

The role requires collaboration with AI/data teams, cross-functional partners, and production-grade release practices.

Qualifications

• Extensive experience in full-stack or backend-focused enterprise app development.
• Strong backend services design using Node.js, Java/Spring Boot, Python/FastAPI/Django.
• Experience with RESTful APIs, databases like PostgreSQL, MongoDB, Redis.
• Containerized deployments with Docker/OpenShift/Kubernetes and CI/CD pipelines.

Responsibilities

• Design, develop, and maintain secure backend services and APIs for enterprise apps.
• Build services for reporting dashboards, notifications, and AI-enabled capabilities.
• Integrate with enterprise data sources and existing backend systems.
• Support real-time data flows using APIs, WebSockets, and similar patterns.
• Collaborate with AI/data teams to integrate model outputs and monitoring.
• Ensure deployment readiness and secure, reliable operations in containerized environments.

Skills

Full-stack development

API design

Real-time data

CI/CD practices

Security best practices

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

OpenShift

Kubernetes

Git/Bitbucket

REST/RESTful APIs

Job description

SoftwareOne is seeking a Senior Full-Stack Engineer in Riyadh, Saudi Arabia, blending backend and API development with AI-enabled enterprise solutions. You will design secure backend services, enable real-time data integration, and support containerized deployments using Docker/OpenShift/Kubernetes.

The role requires collaboration with AI/data teams, cross-functional partners, and production-grade release practices.