Senior Staff AI-Native DevOps Engineer
ServiceNow3 days ago
Base Salary
$181k - $317k/yr
Responsibilities
- Lead a new DevOps practice for the Conversational AI team and drive adoption of infrastructure engineering best practices across teams.
- Own build, deployment, release automation, and reliability for ServiceNow Otto services from commit through production.
- Deploy, scale, and operate distributed microservices in production Kubernetes environments, including application lifecycle, networking, security, and reliability.
- Design infrastructure automation with Terraform, Ansible, Helm, Kubernetes Operators, and other Kubernetes-native tooling.
- Build and maintain CI/CD pipelines and GitOps workflows for testing, deployment, and release management.
- Implement observability, monitoring, incident response, root cause analysis, and remediation practices.
- Architect and optimize public and private cloud infrastructure for security, scalability, cost efficiency, and operational simplicity.
- Operate and troubleshoot AI-powered services, including model API integrations, latency, resource utilization, observability, and operational costs.
- Use AI coding assistants and AI-assisted debugging responsibly while validating generated code for logic errors, security issues, privacy concerns, and edge cases.
Requirements
- At least 8 years of professional experience in software engineering, infrastructure engineering, DevOps, or a related field.
- At least 6 years of experience deploying and operating containerized applications and distributed services in production.
- At least 4 years of hands-on experience with Kubernetes, cloud infrastructure, and infrastructure automation.
- Proficiency in at least one programming or scripting language such as Go, Python, or Bash, with experience building production-grade automation and tooling.
- Experience leading complex infrastructure initiatives, establishing engineering practices, and driving cross-team adoption.
- Strong ability to diagnose distributed-systems issues and improve performance, reliability, and operational efficiency.
- Practical experience using AI-assisted development tools and safely validating and integrating AI-generated code.
- Working knowledge of LLMs, generative AI, and agentic AI concepts, including integration patterns and operational considerations.
- Preferred qualifications include 12+ years of relevant experience, large-scale Kubernetes SaaS operations, Kubernetes Operators or custom controllers, cross-team technical leadership, and production experience with LLM-powered or agentic systems.
Benefits
- Base pay is $181,200–$317,100 plus equity when applicable, variable or incentive compensation, and benefits.
- Benefits include health plans, flexible spending accounts, a 401(k) plan with company match, an employee stock purchase plan, matching donations, flexible time away, and family leave programs.
- The role uses ServiceNow’s flexible work persona within its distributed work model; work-persona eligibility depends on role and location.
- This is a regular employee position in the North America and Canada region.
Tech Stack
Categories
About ServiceNow
ServiceNow builds a cloud platform for enterprise digital workflows, covering IT service management, customer service, HR service delivery, security operations, and operations management, plus tools for custom app development. It sells subscription SaaS to large organizations and public-sector agencies to automate processes and connect data across systems. Founded in 2004 and headquartered in Santa Clara, California, ServiceNow is a public company listed on the NYSE under the ticker NOW.