AI-First Full-Stack Engineer

KLA-Belgium; Ann Arbor (MI); Remote; USD 106,000 - 180,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(K) including company matching

Employee stock purchase program (ESPP)

Tuition reimbursement

Job summary

KLA Services is seeking an AI-first full-stack Software Engineer to build remote service software for field engineers in the semiconductor ecosystem. You will develop both front-end and back-end components using modern web technologies and cloud-native patterns.

The role requires strong collaboration across teams, and a focus on secure, scalable remote access solutions with a bias toward AI-enabled delivery.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 5+ years of full-stack software engineering experience.
• Experience developing cloud native applications using Docker, Kubernetes.

Responsibilities

• Collaborate with marketing, product managers, IT infrastructure, security, and support.
• Participate in roadmap development and backlog refinement.
• Build scalable front-end applications using modern frameworks.
• Develop back-end services, APIs, and microservices.
• Create responsive, secure, and high-performing user experiences.
• Develop automated testing strategies and implement CI/CD pipelines for deployments.
• Troubleshoot production issues across the full technology stack.
• Ensure compliance with relevant regulations and standards.
• Maintain the integrity and security of remote access systems.

Skills

Docker

Kubernetes

HTML

CSS

JavaScript

Angular

React

AI acceleration

Team collaboration

Problem solving

Education

Bachelor's degree in Computer Science/Information Technology

Tools

Docker

Kubernetes

Claude Code

Devin

Job description

KLA Services is seeking an AI-first full-stack Software Engineer to build remote service software for field engineers in the semiconductor ecosystem. You will develop both front-end and back-end components using modern web technologies and cloud-native patterns.

The role requires strong collaboration across teams, and a focus on secure, scalable remote access solutions with a bias toward AI-enabled delivery.