Senior Devops Engineer (ai Ops)

Adobe Media and Data Science Research (MDSR) Laboratory

Base: $139,000 -- $257,550 annually (us); base: $1...
Infrastructure provisioning automation
Ci/cd pipelines for ai services
Telemetry pipelines for observability
This role is responsible for building and operating the infrastructure that enables reliable, observable, and scalable AI systems in production

Job Summary

  • This role is responsible for building and operating the infrastructure that enables reliable, observable, and scalable AI systems in production.
  • The engineer will help operationalize AI platforms by implementing intelligent monitoring, automated incident response, model lifecycle governance, and data-driven operational insights.
  • At Adobe, you will be immersed in an exceptional work environment that is recognized around the world.

Matching Summary

This role is responsible for building and operating the infrastructure that enables reliable, observable, and scalable AI systems in production.

Salary

Base: $139,000 -- $257,550 annually (US); Base: $177,900 - $257,550 (California); Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Infrastructure provisioning automation
  • CI/CD pipelines for AI services
  • Telemetry pipelines for observability
  • Kubernetes cluster management
  • Production deployment and rollback

Nice-to-have

  • Intelligent monitoring implementation
  • Automated incident response
  • Model lifecycle governance
  • Data-driven operational insights

Key Requirements

  • Senior DevOps Engineer specializing in AI Ops
  • SRE-heavy and infrastructure-first responsibility
  • Experience with Terraform
  • Experience with Kubernetes

Work Rights

Not specified

Tailored Resume

Cover Letter