Lead AI-Native DevOps for Production Systems

ServiceNow

Santa Clara (CA)

On-site

USD 201,000 - 352,000

Full time

7 days ago
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Benefits offered by this job

Health plans
401(k) plan with company match
ESPP
Matching donations
Flexible time away
Family leave

Job summary

ServiceNow is seeking a Staff AI-Native DevOps Engineer to lead a new DevOps practice within the Conversational AI team. You will own CI/CD pipelines, release automation, and Kubernetes-based infrastructure across SaaS environments, partnering with scientists and engineers to improve deployment velocity and reliability.

The role emphasizes cloud-native design, IaC, and AI-enabled tooling, with a focus on scalability, security, and operational excellence.

Qualifications

  • 8+ years of professional software or infrastructure engineering.
  • 6+ years deploying containerized apps in production.
  • 4+ years Kubernetes, cloud infra, and IaC experience.
  • Proficiency in Go, Python, or Bash for automation.
  • Experience using AI-assisted development tools in workflows.
  • Working knowledge of LLMs, Generative AI, and agentic AI concepts.

Responsibilities

  • Deploy, scale, and operate distributed microservices in production Kubernetes environments.
  • Design and implement infrastructure automation using IaC and Kubernetes-native tooling (Terraform, Ansible, Helm).
  • Build and maintain CI/CD pipelines and GitOps workflows (Jenkins, GitHub Actions, Tekton, ArgoCD).
  • Implement observability and incident response to improve availability and resilience.
  • Architect and optimize cloud infrastructure with focus on security and cost efficiency.

Skills

Cloud-native infra
Go/Python automation
Kubernetes prod experience
AI/LLM concepts
Infrastructure as Code
CI/CD tooling
Troubleshooting distributed systems
AI-assisted development tools

Tools

Terraform
Ansible
Helm
Kubernetes Operators
GitHub Actions
ArgoCD
Jenkins

Job description

ServiceNow is seeking a Staff AI-Native DevOps Engineer to lead a new DevOps practice within the Conversational AI team. You will own CI/CD pipelines, release automation, and Kubernetes-based infrastructure across SaaS environments, partnering with scientists and engineers to improve deployment velocity and reliability.

The role emphasizes cloud-native design, IaC, and AI-enabled tooling, with a focus on scalability, security, and operational excellence.

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