Senior Linux Automation Engineer

Please Note:  This position will include supporting our US Federal customers.

“This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening.  Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered.

Work Location:
For this position, we strongly prefer candidates located in the San Diego, CA area.  However, we are open to other locations in the Pacific Time zone, including remote work for candidates who do not live near a ServiceNow Office location.

The Team

As a key member of the Systems Administration team within Global Cloud Operations, you will be responsible for the administration and operations of the global cloud infrastructure that runs our SaaS product. This role has a specific focus on development skills to help deliver tools and resolutions through code.  This is an opportunity to be at the core of running a Cloud platform that scales to millions of users!  The Cloud Operations team is responsible for ensuring the availability and efficiency of the server infrastructure that runs our SaaS platform while consuming and deploying products that have been newly developed by engineering teams. You will be working closely with engineers and developers across the company.

What you get to do in this role:

• Contribute to Configuration Management and Infrastructure as Code for ServiceNow’s global private cloud.
• Develop tools in Python, bash, and JavaScript to replace manual work and improve customer maintenance experience.
• Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality.
• Drive enhancements and bugfixes for large-scale automation projects such as patching, provisioning, and kickstart domains.
• Design and implement procedures to accomplish maintenance where automation and tooling cannot; drive resolution of root causes with internal team members.
• Prepare new ServiceNow products and services for production readiness with design review, feedback to engineering teams, training, and testing.
• Support the operation of a wide variety of infrastructure services, including Machine Learning and Prediction, Cloudera Big Data clusters, Kafka and RabbitMQ messaging, database encryption, E-Mail infrastructure, DNS, Puppet, NGINX, Kubernetes, RHOSP, and more.