AI-Driven Full-Stack Engineer for Remote Service Tools

KLA

Ann Arbor Charter Township (MI)

Remote

USD 106,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision
401(k) with company match
Employee stock purchase program
Tuition reimbursement

Job summary

KLA is seeking an AI-first, full-stack Software Engineer to build remote service software for field engineers at semiconductor fabs. This role emphasizes robust, secure, and scalable solutions, with emphasis on front-end and back-end development, automated testing, and CI/CD practices.

Ideal candidates have 5+ years of full-stack experience, a B.S. in CS or related field, and experience with Docker/Kubernetes and AI-enabled delivery.

Qualifications

  • 5+ years of full-stack software engineering experience.
  • Bachelor's degree in Computer Science or related field.
  • Experience developing cloud native applications using Docker and Kubernetes.
  • Experience using AI to accelerate software engineering delivery.

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.
  • Maintain the integrity and security of remote access systems.

Job description

KLA is seeking an AI-first, full-stack Software Engineer to build remote service software for field engineers at semiconductor fabs. This role emphasizes robust, secure, and scalable solutions, with emphasis on front-end and back-end development, automated testing, and CI/CD practices.

Ideal candidates have 5+ years of full-stack experience, a B.S. in CS or related field, and experience with Docker/Kubernetes and AI-enabled delivery.

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