Apply on Employer Site

ServiceNow · 3 weeks ago

Staff Systems Engineer - Federal

San Diego, CA

Full-time

Hybrid

Senior Level, Lead/Staff

$147K/yr - $258K/yr

8+ years exp

ServiceNow is a global market leader in innovative AI-enhanced technology, serving over 8,100 customers including 85% of the Fortune 500. The Staff Systems Engineer role involves building software tools to automate deployment and testing of compute infrastructure, scaling critical services, and collaborating with peer teams on networking and orchestration solutions.

Agentic AIBusiness Process Automation (BPA)Cloud ManagementEnterprise SoftwareRobotic Process Automation (RPA)SaaS

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Build software tools to automate deployment and testing of compute infrastructure

Scale critical services such to support customer growth

Apply test-driven development principles and help us move closer to our goal of continuous delivery

Research and implement new open-source and commercial tools, technologies and methodologies

Collaborate with peer teams who have built world class networking and orchestration solutions

Qualification

AI integrationPython programmingLinux systems architectureInfrastructure as codeOpenStack familiarityConfiguration managementKubernetesDockerSoftware developmentRelease managementVirtualization technologiesCloud infrastructure

Required

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

8+ years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or equivalent work experience

Familiarity with OpenStack

A strong background in programming with Python

A strong background in Linux systems architecture and engineering

Experience managing infrastructure as code with terraform

Experience with applying a configuration management platform such as Puppet at scale

Understanding of core concepts around Kubernetes and Docker

Familiarity with virtualization and cloud infrastructure technologies