Senior IT Application Specialist Technical Operations

Geotab® is a global leader in IoT and connected transportation and is a certified “Great Place to Work™.” We bring together diverse and talented individuals who work together to help businesses grow, succeed, and enhance the safety and sustainability of communities.

Geotab is advancing security by connecting commercial vehicles to the internet and providing web‑based analytics that enable customers to better manage their fleets. Its open platform and Marketplace® offer hundreds of third‑party solution options, allowing businesses—both small and large—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, enhance driver safety, and achieve strong compliance with regulatory changes.

Our team is growing and we’re looking for people who follow their passion, think differently, and want to make an impact. “Geotabbers” accept challenges 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.

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior IT Application Specialist who will evaluate, select, and implement AI‑driven solutions to design, configure, and maintain Geotab’s IT application systems. This role leads and shapes the strategic roadmap for complex application portfolios with high autonomy, acts as the primary SME, and mentors team members to raise the team’s overall AI and application maturity.

• Use AI to write, review, and orchestrate code daily using tools such as Claude Code, Codex, Open Code, and Gemini CLI—showing 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‑tune by identifying ways to maximize 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 in‑depth analysis of problems, initiate corrective actions, and implement preventative measures.
• Deploy and manage AIOps monitoring for predictive detection, automated anomaly identification, and AI‑driven incident response.
• Architect technical strategy for critical applications—from roadmap definition through deployment—often in ambiguous problem spaces.
• Lead problem‑solving across the team and adjacent teams, facilitating high‑stakes incident response and architectural review sessions.
• Mentor IT Applications Specialists through knowledge transfer, cross‑training, and centralized knowledge management.
• Create and maintain SOPs, technical documentation, and knowledge‑base content, leveraging AI for drafting and…