Staff Production Infrastructure Engineer - System Engineering

Staff Production Infrastructure Engineer- System Engineering

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

What you get to do in this role:

• Design, build, and manage large-scale hybrid and multi-cloud environments (AWS, Azure, GCP, or on-prem).
• Develop and maintain Infrastructure as Code (IaC) using Terraform and configuration management tools such as Puppet, Ansible, or Chef.
• Implement and maintain CI/CD pipelines to ensure reliable, automated cloud deployments.
• Write and maintain automation scripts and tools in Python and Go to improve efficiency, scalability, and resilience of infrastructure.
• Manage and troubleshoot core networking services (DNS, DHCP, routing, load balancing, firewalls) across on-prem and cloud environments.
• Build and optimize orchestration workflows leveraging the ServiceNow platform.
• Write test plans and automation for declarative infrastructure across multiple cloud environments.
• Research, evaluate, and adopt new cloud-native and open-source technologies to enhance infrastructure reliability and performance.
• Leverage AI-driven tools and frameworks to enhance cloud operations, automate repetitive tasks, and improve productivity.
• Explore integration of AI frameworks (e.g., LangChain, OpenAI API, or similar) into Cloud and DevOps workflows.
• Stay ahead of advancements in AI agents and Retrieval-Augmented Generation (RAG) pipelines to build smarter, context-aware automation in cloud environments.

Qualifications

To be successful in this role you have:

• 9+ years of experience managing and operating cloud and hybrid infrastructure at scale.
• Strong expertise in AWS, Azure, or GCP, including compute, storage, IAM, networking, monitoring, and security services.
• Hands-on experience with Terraform for Infrastructure as Code.
• Strong knowledge of CI/CD pipelines (Jenkins, GitLab CI/CD, GitHub Actions, or similar).
• Proficiency in Python and Go for automation and infrastructure tooling.
• Solid understanding of networking concepts and protocols, including DNS, DHCP, TCP/IP, routing, switching, firewalls, and load balancing.
• Strong understanding of Linux servers and their components (networking, storage, software packaging).
• Familiarity with Kubernetes and container orchestration (bonus).
• Experience with open-source tools and best practices for cloud operations and DevOps.
• AI-related skills (basic to intermediate):
• Understanding of prompt engineering and how to interact effectively with AI systems.
• Awareness of AI frameworks (LangChain, OpenAI, or similar) and their application in automation and cloud workflows.
• Basic understanding of RAG pipelines and how AI agents can enhance observability, troubleshooting, and knowledge retrieval.
• Ability to identify practical use cases of AI in day-to-day cloud operations (e.g., log analysis, monitoring, documentation automation).
• Strong communication skills with the ability to document and present both technical and AI-enhanced solutions to diverse stakeholders.

JV20