Senior Enterprise Systems Engineer

Tharp Consulting; Springville (UT); On-site; USD 120,000 - 160,000; Full time

Job summary

Tharp Consulting in Utah seeks a skilled infrastructure leader to own and administer enterprise infrastructure, including ERP and SaaS platforms, across cloud, on-prem, and hosted environments. You will guide AI adoption and automation to boost operational efficiency.

You will build, support, and maintain system integrations and data pipelines to ensure reliable data flow across platforms while prioritizing security, reliability, and performance.

Qualifications

• Strong infrastructure and platform administration skills.
• Experience integrating enterprise systems and building data pipelines.
• Ability to lead AI-enabled automation and operational improvements.
• Security-minded approach with strong reliability and monitoring practices.

Responsibilities

• Administer and manage enterprise infrastructure, ERP, and SaaS systems across multiple deployment models
• Drive AI adoption and automation efforts
• Develop and support system integrations and data pipelines
• Ensure security, reliability, and performance of enterprise systems
• Implement and maintain monitoring and observability for systems

Skills

Infrastructure administration

Enterprise integration

AI automation

Security and monitoring

Job description

Own and administer enterprise infrastructure, including ERP and SaaS platforms across cloud, on-premises, and hosted environments. Lead AI adoption and automation initiatives to improve operational efficiency. Build, support, and maintain system integrations and data pipelines to enable reliable data flow across platforms.

Own and administer enterprise infrastructure, including ERP and SaaS platforms across cloud, on-premises, and hosted environments. Lead AI adoption and automation initiatives to improve operational efficiency. Build, support, and maintain system integrations and data pipelines to enable reliable data flow across platforms.

Key Responsibilities

• Administer and manage enterprise infrastructure, ERP, and SaaS systems across multiple deployment models
• Drive AI adoption and automation efforts
• Develop and support system integrations and data pipelines
• Ensure security, reliability, and performance of enterprise systems
• Implement and maintain monitoring and observability for systems

Qualifications / Skills

• Strong infrastructure and platform administration skills
• Experience integrating enterprise systems and building data pipelines
• Ability to lead AI-enabled automation and operational improvements
• Security-minded approach with strong reliability and monitoring practices