Senior IT Application Specialist

Geotab•Waterloo, ON

2d•CA$104,400 - CA$135,700•Hybrid

About The Position

Geotab is seeking a Senior IT Application Specialist who will lead the evaluation, selection, and implementation of AI-driven solutions to design, configure, and maintain Geotab's enterprise IT application systems. This role serves as the primary subject matter expert, shapes the strategic roadmap for complex application portfolios, and mentors team members to raise the team's overall AI and application maturity. The ideal candidate loves AI-powered automation, building intelligent workflows, and working at the frontier of enterprise technology.

Requirements

Post-secondary diploma or degree in Computer Science, Engineering, or a related field; equivalent combination of education and demonstrable experience in AI/automation technologies may be substituted.
5–8 years of experience in technical, functional, and system support of IT applications, including cloud platform and enterprise application environments.
At least 3 years of hands-on experience building and deploying AI-powered automation in production environments (portfolio, projects, or practical assessment required).
Advanced proficiency using AI coding tools (Claude Code, Codex, OpenCode, Gemini CLI) with demonstrated ability to write, review, and orchestrate production-grade code.
Strong programming and scripting skills in Python, PowerShell, and Bash.
Expert-level Linux administration.
Advanced knowledge of SSO methodologies (SAML, LDAPS) and Zero Trust Architecture.
Experience with cloud platforms (Google Cloud, AWS, Microsoft Azure), containerization (Docker), infrastructure automation, and AIOps/observability tools (Prometheus, Grafana, Datadog, Splunk, or similar).
Availability to participate in a 24x7 on-call rotating schedule.

Responsibilities

Owning the end-to-end lifecycle of enterprise applications — from roadmap definition and architectural strategy through deployment, ongoing health, and continuous AI-driven improvement.
Using AI tools such as Claude Code, Codex, OpenCode, and Gemini CLI daily to write, review, and orchestrate code.
Building and deploying advanced workflow automations using LLM APIs and platforms such as GCP Cloud Functions, AWS Lambda, and n8n.
Designing AI agent skills and autonomous workflows with production-grade governance.
Performing daily health checks, driving automation of health monitoring, leading performance tuning initiatives, and coordinating upgrade planning to ensure high availability across the enterprise application landscape.
Working closely with business owners to understand needs, manage expectations, and identify improvement opportunities.
Partnering with adjacent engineering and operations teams to troubleshoot complex issues and develop long-term solutions.
Facilitating high-stakes incident response and architectural review sessions.
Leading AIOps monitoring deployments for predictive detection and automated anomaly identification.
Providing strategic recommendations to management on AI adoption and technology direction.
Using AI to write, review, and orchestrate code daily using tools such as Claude Code, Codex, OpenCode, and Gemini CLI — demonstrating advanced proficiency.
Evaluating and selecting AI tools, frameworks, and platforms for team adoption, assessing business fit, security, and scalability.
Owning end-to-end design, planning, execution, and testing for projects, enhancements, and break/fix issues across enterprise applications.
Building and deploying advanced workflow automations using LLM APIs, orchestration frameworks, and platforms such as GCP Cloud Functions, AWS Lambda, and n8n.
Designing and implementing AI agent skills, tool integrations, and autonomous workflows with production-grade governance.
Deploying and managing AIOps monitoring for predictive detection, automated anomaly identification, and AI-driven incident response.
Architecting technical strategy for critical applications — from roadmap definition through deployment — often in ambiguous problem spaces.
Leading problem-solving across the team and adjacent teams, facilitating high-stakes incident response and architectural review sessions.
Mentoring IT Applications Specialists through knowledge transfer, cross-training, and centralized knowledge management.
Creating and maintaining SOPs, technical documentation, and knowledge base content, leveraging AI for drafting and knowledge retrieval.
Participating in a 24x7 on-call rotating schedule.