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Listed on Geotab’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads the evaluation and implementation of AI-driven solutions for Geotab's enterprise IT applications, requiring someone to architect strategies, mentor team members, and manage the full lifecycle from roadmap to deployment. It suits experienced technologists who are passionate about AI automation, comfortable with 24/7 on-call responsibilities, and want to shape the future of how enterprise systems leverage intelligent workflows and autonomous operations.
Our summary, not Geotab’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- AWS Lambda
- Bash (Scripting)
- Datadog
- Docker
- Google Cloud Platform
- Grafana
- Linux
- Microsoft Azure
- n8n
- OpenAI Codex
- PowerShell
- Prometheus
- Python
- Security Assertion Markup Language (SAML)
- Splunk
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What they ask for
Required
- Post-secondary diploma or degree in Computer Science, Engineering, or related field (or equivalent experience)
- 5–8 years of technical, functional, and system support of IT applications in cloud and enterprise environments
- At least 3 years of hands-on production experience building and deploying AI-powered automation
- Advanced proficiency with AI coding tools (Claude Code, Codex, OpenCode, Gemini CLI)
- Strong programming and scripting in Python, PowerShell, and Bash
- Expert-level Linux administration
- Advanced knowledge of SSO methodologies (SAML, LDAPS) and Zero Trust Architecture
- Experience with cloud platforms (GCP, AWS, Azure)
- Experience with containerization and AIOps/observability tools
- Availability for 24×7 on-call rotating schedule
Nice to have
- Portfolio, projects, or practical assessment demonstrating AI automation work