DevOps Engineer, AI-Native

About The Company ServiceNow is a leading enterprise cloud computing company dedicated to transforming the way organizations work by automating routine tasks and enabling smarter, faster, and more efficient business processes. Founded on the principle of freeing people from busywork, ServiceNow has grown into an AI-native platform that integrates any AI, data, and workflow to serve over 85% of the Fortune 500®.

The company's culture emphasizes innovation, talent, and cutting-edge technology, positioning itself as a pioneer in business reinvention through AI and cloud solutions. ServiceNow's commitment to building an AI-driven culture fosters an environment where technology and human talent work seamlessly together, driving continuous improvement and operational excellence.

About The Role We are seeking a highly skilled Staff AI-Native DevOps Engineer to join our newly established DevOps practice within the Conversational AI team. In this role, you will be responsible for the end-to-end build, deployment, and operational reliability of the systems powering ServiceNow Otto, our conversational AI platform.

This includes managing CI/CD pipelines, release automation, and infrastructure on Kubernetes across our SaaS environments. You will collaborate closely with applied scientists and software engineers to ensure AI-native delivery processes are repeatable, secure, and measurable. Your expertise will help optimize deployment velocity and service reliability while supporting the complex infrastructure that enables our AI services, including agent orchestration, MCP and A2A protocols, and caching layers.

This position offers an exciting opportunity to influence the infrastructure that supports cutting-edge AI technologies, ensuring they are scalable, resilient, and secure.

Qualifications

• 8+ years of professional experience in software engineering, infrastructure engineering, DevOps, or related fields.
• 6+ years of experience deploying and managing containerized applications and distributed services in production environments.
• 4+ years of hands-on experience with Kubernetes, cloud infrastructure, and infrastructure automation tools.
• Proficiency in programming or scripting languages such as Go, Python, or Bash.
• Experience leading complex infrastructure initiatives and establishing best practices across multiple teams.
• Strong problem-solving skills with the ability to diagnose and resolve complex distributed systems issues.
• Deep understanding of modern AI technologies including Large Language Models (LLMs), Generative AI, and agentic architectures.
• Experience with AI-assisted development tools and validating AI-generated code for production use.
• Knowledge of AI infrastructure considerations, including model inference, retrieval-augmented generation, and tool calling.
• Familiarity with cloud architecture, security, scalability, and cost optimization in public and private cloud environments.

Responsibilities

• Design, build, and operate scalable, reliable, and secure cloud-native applications and infrastructure for AI services.
• Develop and maintain CI/CD pipelines and GitOps workflows using tools such as Jenkins, GitHub Actions, Tekton, and ArgoCD.
• Automate infrastructure deployment and management using Infrastructure as Code (IaC) tools like Terraform, Ansible, Helm, and Kubernetes Operators.
• Manage and optimize Kubernetes clusters, ensuring high availability, security, and performance.
• Implement observability, monitoring, and incident response practices to ensure system health and rapid troubleshooting.
• Collaborate with scientists and engineers to ensure AI deployment pipelines are efficient, secure, and scalable.
• Lead initiatives to improve operational efficiency, reliability, and automation across the platform.
• Stay current with AI advancements and integrate AI tools into DevOps workflows to enhance deployment and operational processes.
• Ensure compliance with data privacy and security standards when deploying AI services.

Benefits

• Competitive base salary ranging from $176,100 to $308,200, commensurate with experience and location.
• Equity options and variable/incentive compensation packages.
• Comprehensive health plans, including flexible spending accounts.
• Retirement plans such as a 401(k) with company matching.
• Employee Stock Purchase Plan (ESPP) and matching donations programs.
• Flexible time-off policies and family leave programs.
• Opportunities for professional development and career growth in a cutting-edge technological environment.

Equal Opportunity ServiceNow is an equal opportunity employer. We are committed to creating an inclusive environment where all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected category. We also consider qualified applicants with arrest or conviction records in accordance with applicable laws.

We strive to provide accessible and inclusive accommodations for all candidates throughout the hiring process.