Staff Operations Engineer (mlops)

Adobe Media and Data Science Research (MDSR) Laboratory

Multiple Locations
$159,200 -- $301,600 annually; not specified; not ...
Cloud infrastructure provisioning and scaling
End-to-end mlops pipelines
Ci/cd pipelines for ml services
Craft the operational backbone for high-performance, reliable, and globally scaled machine learning services

Job Summary

  • Craft the operational backbone for high-performance, reliable, and globally scaled machine learning services.
  • Architect solutions that speed up innovation and improve service resilience, influencing architectural decisions across multiple teams.
  • Raise the operational maturity of the organization through standards, reusable platforms, and mentorship.

Matching Summary

Craft the operational backbone for high-performance, reliable, and globally scaled machine learning services.

Salary

$159,200 -- $301,600 annually; Not specified; Not specified

Skills & Requirements

Must-have

  • Cloud infrastructure provisioning and scaling
  • End-to-end MLOps pipelines
  • CI/CD pipelines for ML services
  • Kubernetes orchestration
  • Python programming for automation
  • Observability and monitoring platforms
  • Distributed architecture optimization

Nice-to-have

  • Technical leadership and mentorship
  • Defining operational standards
  • Evaluating new technologies
  • Deep learning frameworks
  • Model optimization tools

Key Requirements

  • 8+ years of experience in DevOps, SRE, or cloud infrastructure
  • Demonstrated MLOps lifecycle experience
  • Strong CI/CD methodologies and tools knowledge
  • Hands-on Kubernetes orchestration expertise
  • Strong Python programming skills
  • Proficiency with observability and monitoring platforms
  • Experience optimizing distributed architectures

Work Rights

Not specified

Tailored Resume

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