Technical Consultant - System Engineering focus

Overview In this Technical Consultant role, you design, deploy, migrate, and support enterprise-scale ArcGIS Enterprise systems, focusing on high availability, disaster recovery, and Kubernetes-based architectures. You work with cross-functional teams to guide customers through complex IT environments across Windows, Linux, cloud, and containerized deployments. You will analyze performance, troubleshoot, and evolve architectures as systems scale in complexity and criticality. This role is ideal for someone with ArcGIS Enterprise administration experience who seeks to deepen expertise across deployment patterns and enterprise technologies, contributing to security, data storage, and authentication in支 Compensation / Benefitscompetitive health benefits401(k) and profit-sharingvacation leavepaid holidaysprofessional growth opportunitiesequal opportunity employer ResponsibilitiesLead advanced Professional Services engagements, including migrations and architecture modernizationTroubleshoot system challenges and perform recovery/DR exercisesConduct proofs of concept for advanced ArcGIS Enterprise deploymentsLead upgrades and deployments of ArcGIS Enterprise and databasesManage Windows, Linux, and Kubernetes-based deploymentsApply knowledge of databases, storage, and related enterprise data componentsUnderstand server-side servicing, authentication methods, and networking basicsGuide customers and colleagues using repeatable system engineering methodsCollaborate with Professional Services to resolve complex issues and mentor newer staff Key requirements5+ years of enterprise GIS experienceExperience administering ArcGIS EnterpriseStrong troubleshooting of server-based systemsSystematic, best-practice driven approach to system engineeringClear communication of technical concepts to diverse audiencesAbility to travel up to 25%Bachelor in Computer Science, Mathematics, GIS, or related STEM fieldclear communicationcollaborationcustomer-facing professionalismArcGIS Enterprise administrationWindows, Linux, and Kubernetes platformsrelational databases and NoSQL