About the job
Important Notice: This role is dedicated to providing support for our US Federal customers.
All candidates must successfully complete a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards), including a credit check, criminal/misdemeanor check, and a drug test. Employment is contingent upon passing this screening. Due to Federal regulations, only US citizens, US naturalized citizens, or US Permanent Residents holding a green card will be considered.
Work Location:
Preferred candidates will be located in the San Diego, CA area, although we are open to other locations in the Pacific Time zone, including remote work options for those not near a ServiceNow office.
The Team:
Join the Systems Administration team within Global Cloud Operations, where you will oversee the administration and operations of our global cloud infrastructure that supports our SaaS product. This role emphasizes development skills to create tools and solutions through code. Be part of a Cloud platform that scales to millions of users! The Cloud Operations team ensures the server infrastructure's availability and efficiency while deploying new products developed by engineering teams. Collaboration with engineers and developers across the company is essential.
Your Responsibilities:
- Enhance Configuration Management and Infrastructure as Code for ServiceNow’s global private cloud.
- Develop automation tools using Python, Bash, and JavaScript to streamline processes and enhance customer experience.
- Encourage a culture of continuous improvement by sharing engineering best practices.
- Lead enhancements and bug fixes for large-scale automation initiatives, including patching and provisioning.
- Establish procedures for maintenance where automation isn't feasible; address root cause issues with internal teams.
- Prepare new ServiceNow products for production readiness through design reviews, feedback sessions, training, and testing.
- Support operations across various infrastructure services, including Machine Learning, Cloudera Big Data clusters, Kafka and RabbitMQ messaging, database encryption, E-Mail infrastructure, DNS, Puppet, NGINX, Kubernetes, RHOSP, and more.

