Senior Linux Automation Engineer

ServiceNow•San Diego, CA

5h•Remote

About The Position

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.

Requirements

The ideal candidate will have experience producing infrastructure-centric code for a production environment. This role also requires senior-level skills and background in systems administration and engineering, understanding of the components of a cloud infrastructure including hardware platforms, OS, applications, databases, networks, web and application servers. Prior experience in Site Reliability Engineering/DevOps and managing large-scale server infrastructure at a cloud computing or MSP setting is highly desirable.
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.
4+ years of experience with Linux (RedHat and/or CentOS)
4+ years development experience with Python, Java, or similar object-oriented languages.
Practiced in AI-enpowered coding with tools such as Windsurf.
Strong understanding of software engineering fundamentals (data structures, algorithms, design patterns).
Experience with performance and availability monitoring, analysis, and configuration management platforms (e.g. Nagios/Icinga, Cacti, Ansible, Puppet, cfengine, chef, Splunk, Logstash) is desirable.
Familiarity with PostreSQL, MySQL, MariaDB, or similar technologies; proficiency preferred.
Senior-level skills and experience with service troubleshooting in a production environment covering web front-end, Systems, Databases and Networks.
Understanding of ITIL v3 framework and how it applies to incidents, problems and change.
Excellent communication skills and the ability to work well in a collaborative team environment.

Nice To Haves

Development experience on the ServiceNow Platform would be a big plus.

Responsibilities

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.