ServiceNow
Senior Staff AI-Native DevOps Engineer
$201K–$352K
Santa Clara, CALIFORNIA, United States · Hybrid · Senior Staff · Full-time · Posted Oct 15, 2026
- Experience
- 8+ years of relevant experience; 6+ years deploying and operating containerized applications and distributed services in production; 4+ years hands-on with Kubernetes, cloud infrastructure, and infrastructure automation. Preferred: 12+ years.
- Visa sponsorship
- For roles requiring access to controlled technology subject to export control regulations, employment is contingent on obtaining any required export license or other government approval.
About the job
Leads the build, deployment, and reliability of ServiceNow Otto’s conversational AI systems across SaaS environments, including infrastructure, CI/CD, observability, and operational tooling.
What you'll do
- Deploy, scale, and operate distributed microservices in production Kubernetes environments.
- Build infrastructure automation, CI/CD pipelines, and GitOps workflows; improve release management and deployment safety.
- Establish observability and incident-response practices, diagnose production issues, and improve reliability and operational efficiency.
What they ask for
- 8+ years of relevant professional experience; 6+ years deploying and operating containerized applications and distributed services in production; 4+ years hands-on with Kubernetes, cloud infrastructure, and infrastructure automation.
- Proficiency in at least one of Go, Python, or Bash, with experience building production-grade automation and tooling.
- Practical experience using AI-assisted development tools, including validating, debugging, and safely integrating AI-generated code.
- Working knowledge of LLMs, Generative AI, and agentic AI concepts, including integration patterns and operational considerations.
Nice to have
- 12+ years of relevant experience.
- Experience operating Kubernetes-based SaaS platforms at scale, developing Kubernetes-native automation, leading cross-team infrastructure initiatives, or operating LLM-powered applications in production.
Pay
$201,300 - $352,300 USD base salary
Tools
Go, Python, Bash, Terraform, Ansible, Helm, Kubernetes, Jenkins
AI focus
Build and operate infrastructure for conversational AI and LLM-powered services; apply AI-assisted coding, debugging, and trace analysis; support model integrations, agentic workflows, and production observability, reliability, latency, resource use, and cost management.
Model-written summary · the original posting is authoritative