Site Reliability Engineer - AI Platform

Verisign•Reston, VA

9d•Hybrid

About The Position

Verisign is hiring a Site Reliability Engineer for a new engineering team responsible for establishing and operating the company’s on-premises Artificial Intelligence and Large Language Model platform. The role helps operate Kubernetes-based infrastructure and automation that enable secure, reliable AI tooling for engineers. It is a hands-on platform operations position focused on dependable execution, automation, and continuous improvement. The position is based in Verisign’s Reston, Virginia office and follows a hybrid work schedule. The stated annual base salary range is $89,900–$121,700. Base pay may vary based on job-related knowledge, skills, and experience. The company also offers a discretionary bonus based on individual and company performance, and certain roles may be eligible for discretionary stock awards.

Requirements

Bachelor’s degree in computer science, information systems, or a related technical field.
At least 2 years of related experience.
Experience administering Linux systems and troubleshooting production infrastructure.
Working knowledge of Kubernetes, containers, and infrastructure automation.
Experience with Ansible is required.
Familiarity with source control, CI/CD concepts, and operational documentation practices.
Foundational understanding of networking, access controls, and secure systems operations.
Strong written and verbal communication skills.
Ability to work effectively in a collaborative engineering environment.

Nice To Haves

Experience with Red Hat Enterprise Linux, Jenkins, GitHub, Jira, or Confluence.
Scripting experience with Python, Bash, or a similar language.
Experience with monitoring and observability tools, incident response, or IT service-management platforms.
Experience supporting cloud-native applications or platform services in a security- and reliability-focused environment.

Responsibilities

Deploy, configure, and support Kubernetes-based platform infrastructure in development, QA, and production environments.
Perform routine platform maintenance and operational troubleshooting in accordance with established change-management and security practices.
Support user onboarding, access provisioning, and access lifecycle activities for AI platform services.
Develop and maintain operational runbooks, configuration documentation, and deployment procedures.
Support CI/CD workflows and platform integrations used to deploy and operate AI-enabled engineering services.
Build and maintain infrastructure automation and configuration-management solutions using Ansible.
Assist with monitoring, alert response, problem isolation, and resolution in collaboration with infrastructure, security, and engineering teams.
Document operational work clearly and communicate progress, risks, and issues to the team.