Senior Devops Engineer- Ai/ml Infrastructure & Shared Platform

Adobe Media and Data Science Research (MDSR) Laboratory

Base: $139,000 - $257,550 annually (us); californi...
5+ years devops or sre experience
Deep expertise in azure aws gcp
Kubernetes and helm orchestration
The role involves architecting the shared app infrastructure that powers Adobe's AI Assistant and related services across Experience Cloud

Job Summary

  • The role involves architecting the shared app infrastructure that powers Adobe's AI Assistant and related services across Experience Cloud.
  • Candidates must possess deep technical expertise in infrastructure automation, cloud-native systems, and MLOps engineering to support rapid model deployment.
  • The position requires building resilient automation pipelines and monitoring systems to ensure highly reliable and secure infrastructure for evolving AI initiatives.

Matching Summary

The role involves architecting the shared app infrastructure that powers Adobe's AI Assistant and related services across Experience Cloud.

Salary

Base: $139,000 - $257,550 annually (US); California: $177,900 - $257,550; Equity/AIP: Short-term incentives and potential long-term equity awards

Skills & Requirements

Must-have

  • 5+ years DevOps or SRE experience
  • Deep expertise in Azure AWS GCP
  • Kubernetes and Helm orchestration
  • Python automation and tool development
  • CI/CD pipeline architecture
  • Observability with Prometheus Datadog

Nice-to-have

  • Startup mentality and rapid iteration
  • Experience with large-scale LLM systems
  • Knowledge of Adobe Experience Platform
  • Open-source contributions
  • Strong cross-functional collaboration

Key Requirements

  • 5+ years in DevOps, SRE, or Cloud Infrastructure
  • Strong custom tool development skills beyond scripting
  • Fluency in AI/ML infrastructure requirements

Work Rights

Not specified

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