обновлено 2 дня назад
Senior IT Application Specialist (AI)
104 400 - 135 700CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior IT Application Specialist (AI): Owning the end-to-end lifecycle of enterprise applications and building AI-powered automations with an accent on LLM APIs, cloud functions, AIOps, and production-grade governance. Focus on architecting critical application strategies, deploying predictive monitoring, solving complex incidents, and leading AI adoption across technical and business teams.
Location: Flexible hybrid work model based in Oakville, Toronto, or Waterloo, Ontario, Canada. Office attendance is supported, while virtual work requires a reliable internet connection with at least 50 Mbps download and 10 Mbps upload.
Salary: $104,400–$135,700 CAD annual base salary.
Company
develops IoT, connected transportation, fleet-management, web analytics, and vehicle-data solutions for commercial transportation.
What you will do
- Own the end-to-end lifecycle of enterprise applications, from roadmap definition and architecture through deployment, health management, upgrades, and continuous improvement.
- Use Claude Code, Codex, OpenCode, and Gemini CLI to write, review, and orchestrate production-grade code.
- Build and deploy workflow automations with LLM APIs, GCP Cloud Functions, AWS Lambda, n8n, and related orchestration frameworks.
- Design AI agent skills, tool integrations, autonomous workflows, and production-grade governance models.
- Deploy AIOps monitoring for predictive detection, anomaly identification, and AI-driven incident response while leading performance tuning and health-monitoring automation.
- Lead architectural reviews and high-stakes incident response, advise management on AI adoption, and mentor IT Applications Specialists.
Requirements
- Post-secondary diploma or degree in Computer Science, Engineering, or a related field, or equivalent demonstrable experience in AI and automation.
- 5–8 years of experience supporting technical, functional, and system aspects of IT applications in cloud and enterprise environments.
- At least 3 years of hands-on experience building and deploying AI-powered automation in production; a portfolio, projects, or practical assessment is required.
- Advanced proficiency with AI coding tools and strong programming and scripting skills in Python, PowerShell, and Bash.
- Expert-level Linux administration; advanced knowledge of SSO methodologies including SAML and LDAPS, and Zero Trust Architecture.
- Experience with Google Cloud, AWS, Microsoft Azure, Docker, infrastructure automation, and observability tools such as Prometheus, Grafana, Datadog, or Splunk; availability for a 24×7 rotating on-call schedule.
Culture & Benefits
- Flexible hybrid work supported by cloud applications, collaboration tools, and asynchronous working.
- Home office reimbursement program and work-life balance initiatives.
- Online learning and networking opportunities.
- Competitive medical and dental benefits, retirement savings program, parental leave top-up, and baby bonus for full-time permanent employees.
- Electric vehicle purchase incentive program and an inclusive, diverse work environment.
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