IT Automation Engineer - Business Technology​/Mountain Time

IT Automation Engineer - Business Technology

As an Automation Engineer, you design, build, and maintain the scripts, workflows, and tools that let Rithum's Business Technology team spend less time on manual, repetitive IT work and more time solving problems that matter. You also administer and support the end-user, identity, and collaboration platforms Rithum runs on, so the automation you build is grounded in hands-on ownership of those systems.

You partner closely with the Service Desk, Infrastructure Engineering, and Information Security teams to identify where automation can reduce risk and free up capacity, and you are accountable for the reliability of the automation you build.

All team members are expected to leverage AI to work smarter, accelerate decision-making, automate repeatable work, and improve outcomes. You are encouraged to continuously identify opportunities to apply AI, data, and scalable processes to enhance productivity, drive innovation, and deliver greater value for our clients, partners, and teams while maintaining appropriate judgment, quality, security, confidentiality, and compliance.

Responsibilities

• Design, build, and maintain automation scripts and workflows (e.g., Power Shell, Python, Bash) that streamline IT service delivery, endpoint provisioning, and systems administration tasks.
• Design, build, and own automated workflows across user lifecycle, device provisioning, and identity lifecycle using Rithum's existing platforms (Okta, Microsoft Entra , Intune, Jamf) and API and webhook integrations.
• Instrument automations with logging and alerting so every action is auditable and measurable, tracking hours saved and errors reduced rather than only whether a workflow ran.
• Translate manual, repetitive IT operations processes into reliable, documented, automated solutions, adapting existing scripts and tools to address new and evolving business needs.
• Use AI tools to accelerate script development, troubleshoot automation failures, and draft technical documentation, verifying outputs before they are applied to production systems.
• Administer, configure, and monitor end-user and identity platforms such as Active Directory, Okta, Microsoft Entra , Intune, Jamf, and Tanium, escalating architectural decisions on complex integrations to senior IT Operations teammates.
• Administer and support collaboration and productivity platforms such as Microsoft 365, Google Workspace, Slack, Zoom, and Microsoft Teams.
• Resolve end-user computing issues across Windows and macOS through the ticketing queue, direct messaging, and voice or video sessions, owning requests end-to-end and escalating critical incidents and system alerts to senior IT Operations.
• Document technical solutions so they are accurate, secure, and aligned with corporate IT and Information Security standards and policies.
• Partner with the Service Desk, Infrastructure Engineering, and Information Security teams to identify recurring manual tasks that are strong candidates for automation.
• Collaborate with partner teams to test, deploy, and monitor automation workflows, tailoring communication to technical and non-technical audiences.
• Provide occasional guidance to Service Desk teammates on scripting fundamentals and automation best practices as your experience grows.
• Document automation workflows, runbooks, and troubleshooting guides so that solutions remain supportable and repeatable across the IT organization.
• Own the automation knowledge base, keeping runbooks and integration notes current so what you build is repeatable and supportable by others rather than dependent on you.
• Apply lessons learned from prior automation efforts to improve reliability, reduce inefficiencies, and anticipate dependencies in future builds.
• Monitor the performance and reliability of deployed automations, escalating and resolving issues within your area of ownership.
• Use AI as your starting point for recurring IT work — configuration research, scripting, troubleshooting, documentation, and solution design — so your output is clearer and needs less rework.
• Validate AI-generated scripts, configurations, and recommendations in non-production environments before…