ServiceNow

Senior Staff DevOps Engineer - Machine Learning

Join ServiceNow in Santa Clara as a Senior Staff DevOps Engineer - Machine Learning. Leverage AI and Kubernetes for innovative infrastructure solutions.

ServiceNow Role Type:
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Implementer
ServiceNow Modules:
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DevOps
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Predictive Intelligence
ServiceNow Certifications (nice to have):

Job description

Date - JobBoardly X Webflow Template
Posted on:
 
September 17, 2025

ServiceNow is seeking a Senior Staff Machine Learning Engineer - Site Reliability Engineer to contribute to the design, development, and implementation of AI-powered infrastructure and observability features. The role involves collaboration with researchers and engineers to ensure efficient GPU clusters, building reusable code, and ensuring high-quality product delivery. ServiceNow aims to make the world work better by connecting people, systems, and processes.

Requirements

  • Experience in leveraging AI in work processes.
  • Proficient in LLM-based features and training.
  • Experience using AI productivity tools such as Cursor and Windsurf.
  • 8+ years of experience with infrastructure and platform operations, deployments, SRE, and DevOps.
  • 6+ years of experience operating highly-available distributed workloads on Kubernetes.
  • 6+ years of development experience with Python, GoLang, Java or similar languages.
  • Experience with DevOps tooling (e.g. Helm / Ansible / Kubernetes / Prometheus /Splunk/ GitLab CI)
  • Strong working experience operating distributed systems built on Linux and J2EE
  • Experience with software-defined networking, infrastructure as code, and configuration management
  • Experience with building software for compliance and security in regulated environments

Benefits

  • Competitive salary
  • Opportunities for professional development

Requirements Summary

8+ years Infrastructure/DevOps experience, 6+ years with Kubernetes, and 6+ years of Python/GoLang development experience