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Senior Information Systems Engineer

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

⚙️ Systems Engineer

Where this job comes from

Posted on Riva Scientific's careers page, not through a job board

First seen by Remote Rocketship 1 minute ago

Logo of Riva Scientific

Riva Scientific

11 - 50 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Riva Scientific is a company that offers innovative solutions in the Life Sciences and Biotechnology sectors, as well as Information Technology services. They provide a comprehensive range of products and services including managed services, strategic consulting, and staffing solutions tailored to the unique challenges faced by Pharmaceuticals and Technology companies. Riva Scientific specializes in laboratory automation, software validation, custom application development, and staffing, helping clients navigate complex regulatory environments and improve operational efficiencies.

📋 Description

• Manage information systems for a distributed engineering organization • Manage macOS, Windows, and mobile device environments using Jamf, Intune, or similar tooling • Administer core SaaS tools including Google Workspace, Slack, Zoom, Atlassian, and Glean • Design and maintain automations using Serval, Zapier, or equivalent orchestration platforms • Evaluate, configure, and govern enterprise AI tools, agents, and MCP-based agent frameworks • Manage Azure subscriptions, RBAC, group-based access, and other cloud-provider environments alongside AWS • Support a rapidly scaling, distributed engineering organization

🎯 Requirements

• 5+ years of experience • Experience with Jamf (macOS), Intune (Windows/mobile), and/or device posture tooling such as Kolide or similar • Experience managing core SaaS tools such as Google Workspace, Slack, Zoom, Atlassian, or Glean • Background designing or maintaining automations with tools like Serval, Zapier, or equivalent orchestration platforms • Experience evaluating, configuring, and governing AI tools and agents (e.g., Claude, Gemini, Glean) and MCP-based agent frameworks in an enterprise environment • Working knowledge of Azure (subscriptions, RBAC, group-based access) and/or other major cloud providers alongside AWS • Prior experience supporting a rapidly scaling, distributed engineering organization

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