Senior IT Application Specialist

About the role

Geotab ® is a global leader in IoT and connected transportation and certified "Great Place to Work™." We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities. Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab's open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes. Our team is growing and we're looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it's like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram .

Responsibilities

• How you'll make an impact:
• Use AI to write, review, and orchestrate code daily using tools such as Claude Code, Codex, OpenCode, and Gemini CLI - expected to demonstrate advanced proficiency
• Evaluate and select AI tools, frameworks, and platforms for team adoption, assessing business fit, security, and scalability
• Own end-to-end design, planning, execution and testing for projects, enhancements, and break/fix issues across enterprise applications
• Build and deploy advanced workflow automations using LLM APIs, orchestration frameworks, and platforms such as GCP Cloud Functions, AWS Lambda, and n8n
• Design and implement AI agent skills, tool integrations, and autonomous workflows with production-grade governance
• Design, configure, implement and maintain applications and service requirements while researching and establishing best practices
• Perform daily health checks to detect issues and minimize downtime, driving automation of health monitoring across the team
• Performance tuning by identifying ways to maximize the potential and ensure high availability of applications
• Analyze new functionality in application releases to determine how it should be used and identify AI-driven enhancements
• Plan, coordinate and test upgrades for enterprise applications, ensuring systems operate correctly in current and future environments
• Work closely with business owners to understand business needs, manage expectations, and identify improvement opportunities
• Establish relationships with various teams to troubleshoot issues and develop long-term solutions effectively
• Identify and resolve highly complex production problems for supported applications using AI-assisted troubleshooting
• Lead and ensure in-depth analysis of problems, initiate corrective action

Benefits

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