Senior IT Application Specialist
HybridAtlanta, Georgia, United States
Job Summary
Evaluate, select, and implement AI-driven solutions to design, configure, and maintain Geotab's IT application systems while leading the strategic roadmap for complex application portfolios. Use AI to write, review, and orchestrate code daily, then build and deploy advanced workflow automations using LLM APIs and orchestration frameworks. Own end-to-end design, planning, execution, and testing for projects, enhancements, and break/fix issues across enterprise applications. Perform daily health checks to detect issues, drive automation of health monitoring, and deploy AIOps for predictive detection and automated anomaly identification. Lead problem-solving across teams, facilitate high-stakes incident response, and mentor IT Applications Specialists through knowledge transfer and centralized documentation. Participate in a 24x7 on-call rotating schedule.
Required Qualifications
- Post-Secondary Diploma/Degree in Computer Science, Engineering, or a related field (or equivalent experience)
- Required proficiency using AI to write code with a production portfolio
- 5 - 8 years of experience in technical, functional, and system support of IT applications, cloud platforms (GCP, AWS, Azure), and advanced OS installation/troubleshooting (ChromeOS, Windows, Linux)
- At least 3 years of hands-on experience building and deploying AI-powered automation in production environments
- Deep expertise in AI-driven development tools (Claude Code, Codex, OpenCode, Gemini CLI), LLM APIs, and orchestration frameworks (GCP Cloud Functions, AWS Lambda, n8n)
- Strong programming/scripting skills in Python, PowerShell, and Bash
- Advanced knowledge of managing Linux-based environments, SSO methodologies (SAML & LDAPS), Zero Trust Architecture, containerization (Docker), and infrastructure automation
- Practical experience using intelligent monitoring and incident response frameworks such as Prometheus, Grafana, Datadog, Splunk, or similar toolsets
- Excellent verbal and written communication skills
- An entrepreneurial mindset
- Strong critical thinking for validating AI output
- The ability to mentor team members effectively
- Post-Secondary Diploma/Degree in Computer Science, Engineering, or a related field (or equivalent experience)
- 5 - 8 years of experience in technical, functional, and system support of IT applications, cloud platforms (GCP, AWS, Azure), and advanced OS installation/troubleshooting (ChromeOS, Windows, Linux)
- At least 3 years of hands-on experience building and deploying AI-powered automation in production environments
- Deep expertise in AI-driven development tools (Claude Code, Codex, OpenCode, Gemini CLI), LLM APIs, and orchestration frameworks (GCP Cloud Functions, AWS Lambda, n8n)
- Strong programming/scripting skills in Python, PowerShell, and Bash
- Advanced knowledge of managing Linux-based environments, SSO methodologies (SAML & LDAPS), Zero Trust Architecture, containerization (Docker), and infrastructure automation
- Practical experience using intelligent monitoring and incident response frameworks such as Prometheus, Grafana, Datadog, Splunk, or similar toolsets
- Excellent verbal and written communication skills
- An entrepreneurial mindset
- Strong critical thinking for validating AI output
- The ability to mentor team members effectively
Desired Qualifications
- Preferred certifications include Google Cloud Professional Machine Learning Engineer, Google AI Professional, AWS, Linux+, or AIOps platform certifications
- A preferred background in designing AI agent architectures and governance frameworks
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.