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ServiceNow · 1 month ago

Staff Systems Engineer - Federal

4400 Carillon Point Floor 4, Kirkland, Washington, United States

Full-time

Hybrid

Lead/Staff

$164K/yr - $286K/yr

8+ years exp

ServiceNow is a global market leader in innovative AI-enhanced technology, transforming how organizations work. The Staff Systems Engineer role involves building software tools for automation, scaling critical services, and collaborating with teams to enhance networking and orchestration solutions.

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

Growth Opportunities

No H1B

Security Clearance Required

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 developmentCloud 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

Prior experience in software development or release management is highly desirable

Familiarity with virtualization and cloud infrastructure technologies