Senior IT Application Specialist

Internship List; Oakville; Hybrid; CAD 104,000 - 136,000; Full time

Benefits offered by this job

Flex working arrangements

Home office reimbursement program

Baby bonus & parental leave top up

Online learning and networking

Electric vehicle purchase incentive

Medical and dental benefits

Retirement savings program

Job summary

Geotab is seeking a Senior IT Application Specialist to lead the evaluation, selection, and implementation of AI-driven solutions to design, configure, and maintain Geotab’s enterprise IT application systems.

You will be the primary subject matter expert, shaping the strategic roadmap for complex portfolios and mentoring team members to raise AI and application maturity. A strong emphasis on AI-powered automation, production-grade code, and governance drives daily work.

Qualifications

• 5–8 years of experience in technical, functional, and system support of IT applications.
• At least 3 years of hands-on experience building and deploying AI-powered automation in production environments.
• Advanced proficiency using AI coding tools (Claude Code, Codex, OpenCode, Gemini CLI) with production-grade code writing.
• Strong programming in Python, PowerShell, and Bash; Linux administration; SSO (SAML, LDAPS) and Zero Trust knowledge.

Responsibilities

• Own end-to-end lifecycle of enterprise applications—from roadmap definition and architectural strategy through deployment and health monitoring.
• Write, review, and orchestrate production-grade code using AI tools and deploy automated workflows with LLM APIs.
• Lead design and implement AI agent skills and tool integrations with governance.
• Deploy and manage AIOps monitoring for predictive detection and automated anomaly identification.
• Mentor IT Applications Specialists and create SOPs and technical documentation.

Skills

AI tools

Python

PowerShell

Bash

Linux admin

Cloud platforms

GCP

AWS

Azure

Docker

Kubernetes

Prometheus

Grafana

Datadog

AIOps

SAML

Zero Trust

Education

Bachelor's or equivalent in Computer Science/Engineering

Tools

Docker

Kubernetes

GCP

AWS

Azure

n8n

LLM APIs

Job description

Who we are:

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.

Who you are:

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 lead the evaluation, selection, and implementation of AI-driven solutions to design, configure, and maintain Geotab’s enterprise IT application systems. You will serve as the primary subject matter expert, shape the strategic roadmap for complex application portfolios, and mentor team members to raise the team’s overall AI and application maturity. If you love AI-powered automation, building intelligent workflows, and working at the frontier of enterprise technology — we would love to hear from you!

What you’ll do:

As a Senior IT Application Specialist your key area of responsibility will be owning the end-to-end lifecycle of enterprise applications — from roadmap definition and architectural strategy through deployment, ongoing health, and continuous AI-driven improvement. You will use AI tools such as Claude Code, Codex, OpenCode, and Gemini CLI daily to write, review, and orchestrate code; build and deploy advanced workflow automations using LLM APIs and platforms such as GCP Cloud Functions, AWS Lambda, and n8n; and design AI agent skills and autonomous workflows with production-grade governance. You will also perform daily health checks, drive automation of health monitoring, lead performance tuning initiatives, and coordinate upgrade planning to ensure high availability across the enterprise application landscape.

To be successful in this role, you will need to work closely with business owners to understand needs, manage expectations, and identify improvement opportunities, while partnering with adjacent engineering and operations teams to troubleshoot complex issues and develop long-term solutions. You will facilitate high-stakes incident response and architectural review sessions, lead AIOps monitoring deployments for predictive detection and automated anomaly identification, and provide strategic recommendations to management on AI adoption and technology direction. The ideal candidate is a strong team player with an entrepreneurial mindset, thrives in a flat organization, and communicates complex technical ideas clearly to both technical and business audiences.

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 — demonstrating 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.
• 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 knowledge retrieval.

What you’ll bring to the role:

• 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; and 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 24×7 on‑call rotating schedule.

If you got this far, we hope you’re feeling excited about this role! Even if you don’t feel you meet every single requirement, we still encourage you to apply.

Why job seekers choose Geotab:

• Flex working arrangements
• Home office reimbursement program
• Baby bonus & parental leave top up program
• Online learning and networking opportunities
• Electric vehicle purchase incentive program
• Competitive medical and dental benefits
• Retirement savings program

*The above are offered to full‑time permanent employees only

How we work:

At Geotab, we have adopted aflexible hybridworking model in that we have systems, functions, programs and policies in place to support both in‑person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud‑based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work‑life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!

We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at [e-mail]. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice.

The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual’s ability to pass a background check.

Hiring Range

$104,400—$135,700 CAD