Company Description
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

ROLE:

As a Capacity Engineer, your role will entail collaborating with a technically diverse team of engineers to deploy, maintain, and manage the capacity resources of the ServiceNow platform and infrastructure globally. In order to ensure optimal performance, you will also be responsible for the lifecycle management of these resources, employing your expertise to identify and rectify potential issues in a timely and efficient manner. This will require a strong attention to detail, as well as the ability to work both independently and as part of a team. By continually monitoring and optimizing the capacity resources, you will contribute to the overall success of the ServiceNow platform.

WHAT YOU GET TO DO IN THIS ROLE:

• Provide relief and sustainable resolution to issues within our infrastructure.
• Deployment of new capacity and managing a worldwide fleet of racks and servers.
• Manage and resolve challenging capacity issues/cases with and for ServiceNow partners.
• Ensure that all capacity, reliability, and availability needs can be met, on schedule.
• Collaborate with multiple different technical teams, including IA DevOps SRE and HSS support teams, to resolve issues and create new efficiencies.
• Drive a culture of intolerance to manual activity which results in a highly automated environment delivering scalable solutions.
  Qualifications

TO BE SUCCESSFUL IN THIS ROLE YOU HAVE:

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
• Good knowledge of CentOS/Red Hat Linux.
• Networking skills, IP addressing, and routing.
• Ability to troubleshoot multiple complex technical issues.
• Working knowledge of networking/server architecture and hardware.
• Excellent communication, time management, and interpersonal skills.
• Strong documentation skills with particular emphasis on technical processes and standards.
• Ability to learn new technologies and modify existing processes and procedures as needed.
• Ability to work in on-call that covers one weekend per month.