Full-Stack Engineer: AI‑Driven, Design‑Heavy Platform

Adobe; San Jose (CA); On-site; USD 139,000 - 258,000; Full time

Job summary

Adobe is seeking a Full-Stack Software Engineer in California to design and scale a design-heavy platform across all layers of the stack. You will own features end-to-end, from API surfaces to client runtimes, delivering fast, reliable user experiences.

You will work with modern web frameworks, Kubernetes-based infrastructure, and AI-assisted tools to accelerate development while maintaining quality. A strong emphasis is placed on CI/CD, tooling, and scalable architectures for a diverse audience.

Qualifications

• Bachelor's degree or relevant experience in CS/SE or closely related field.
• Proficiency in modern frontend development with React and high-performance UI.
• Backend engineering experience building scalable services (Node.js, Java, Python, Go).
• Experience deploying services on Kubernetes-based infrastructure and container orchestration.

Responsibilities

• Own full-stack implementation across the platform, from API surfaces to frontend experiences on web.
• End-to-end responsibility for features across development, testing, deployment, and maintenance.
• Develop fast, responsive, design-heavy frontend interfaces with modern frameworks and component-based architecture.
• Architect and develop backend services for reliability, performance, and fault tolerance.
• Manage sandbox environments for development and testing; own deployment pipelines on Kubernetes.

Skills

Frontend development

Backend development

Kubernetes deployment

AI-assisted tooling

CI/CD practices

Education

Bachelor's degree or relevant experience

Tools

Node.js

Java

Python

Go

Job description

Adobe is seeking a Full-Stack Software Engineer in California to design and scale a design-heavy platform across all layers of the stack. You will own features end-to-end, from API surfaces to client runtimes, delivering fast, reliable user experiences.

You will work with modern web frameworks, Kubernetes-based infrastructure, and AI-assisted tools to accelerate development while maintaining quality. A strong emphasis is placed on CI/CD, tooling, and scalable architectures for a diverse audience.