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

PREFERRED QUALIFICATIONS:

• Experience supporting enterprise-scale hybrid cloud and on-prem environments
• Experience managing, analyzing, and improving infrastructure systems
• Fluency in one or more of the following technologies:
• Amazon Web Services
• VMware
• EKS / Kubernetes / Docker
• Prometheus / Grafana / LogicMonitor / Splunk
• Chef / Ansible/ Terraform / Cloudformation
• Jenkins/ Nexus/ Github
• Linux (CentOS / Ubuntu / RedHat)
• Windows (Desktop and Server)
• MacOS

BASIC QUALIFICATIONS:

• 8 years hands-on experience with cloud infrastructure automation, system engineering, and monitoring implementation (bonus points for deep knowledge of AWS, VMware)
  JV20
  MD25
  Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!
  For positions in this location, we offer a base pay of $147,300 - $257,800, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
  Additional Information

WHAT YOU GET TO DO IN THIS ROLE:

As a Staff Systems Engineer, you will be part of a team that is creating the next generation Build and Release platform that is heavily cloud-based in AWS using EKS, Kubernetes, and Docker with thousands of instances under management for ServiceNow. We need your expertise to design, monitor, measure, optimize, and ensure that we plan for the capacity to deploy services required to enable enterprise scale software development, quality engineering, and production releases. This includes the following responsibilities:

• Design and implement system and application health dashboards – both internal to the team, and external users – tracking metrics necessary to meet organizational SLAs.
• Manage and report utilization and capacity across the infrastructure to provide management with current and projected cost information.
• Provision, monitor, and manage cloud infrastructure in AWS using cutting-edge Infrastructure-as-Code methods and to scale the Build and Release Platform.
• Support the Build and Release platform for a fast-growing development organization with over 5000 engineers.
• Manage and maintain the CMDB and DCIM tools to ensure accurate infrastructure data.
• Guide and mentor the Infrastructure and Operations Team in the management of O/S and application patching, critical data protection, and operating performance.
• Using data gathered through system and application monitoring, identify potential capacity issues, and develop plans to proactively modify configurations before problems occur.
• Troubleshoot, resolve problems, perform root cause analysis, and document solutions to improve time to discovery and time to resolution.
• Identify recurring problems, opportunities for self-healing, and then automate as appropriate.

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.
• Exceptional troubleshooting skills – and a genuine curiosity about how things work
• Ability to quickly learn new technologies, evaluate applicability to our environment and apply them appropriately
• Strong networking, Kubernetes, Infrastructure/Configuration as Code skills
• Passion for automation, continuous improvement, and DevOps culture
• Clear verbal and written communication skills
• Security and compliance minded
• A strong commitment to customer service