Senior IT Application Specialist, DevOps & AI Operations - SaaS Client

Senior IT Application Specialist, DevOps & AI Operations - SaaS Client

Job Type: Permanent

Positions to fill: 1

Start Date: Oct 26, 2026

Job End Date: NA

Job ID:

Senior IT Application Specialist, DevOps & AI Operations - SaaS Client

Type: FTE/Permanent

Location: Oakville, ON - Hybrid if local

Overview

Our client is seeking a Senior IT Application Specialist with a strong DevOps background to manage enterprise applications and cloud platforms at scale. This hands-on role combines Kubernetes platform operations, infrastructure automation and observability with daily AI use to improve monitoring, log investigation, troubleshooting and operational efficiency.

Responsibilities

• Own the lifecycle of enterprise applications and supporting platforms, including design, deployment, ongoing support, performance tuning and upgrades.
• Manage containerized workloads using Docker, Kubernetes and Helm, with Terraform for infrastructure automation and GitOps/ArgoCD for application delivery.
• Maintain monitoring and logging using Grafana, Elasticsearch and VictoriaMetrics; automate health checks and improve incident detection and investigation.
• Use AI tools in daily operations to assist with coding, log analysis, troubleshooting, documentation and workflow automation.
• Evaluate and implement AI tools and integrations with appropriate security, testing and governance.
• Lead complex incident resolution, collaborate with business and technical teams, mentor colleagues, and maintain operational documentation and runbooks.

Must Haves

• 5-8 years of relevant experience managing production cloud platforms and/or enterprise applications, with substantial hands-on DevOps responsibility.
• Experience with Docker, Kubernetes and Helm , including deploying, configuring and troubleshooting production workloads.
• Hands-on experience with Terraform, GitOps and ArgoCD for infrastructure provisioning and application deployment.
• Experience with Grafana, Elasticsearch and VictoriaMetrics for monitoring, logging and platform health.
• Production cloud experience with Google Cloud or AWS . Strong AWS experience will be considered transferable.
• Full willingness to adopt AI in day-to-day operations , including learning and applying AI tools to improve investigation, automation and support.
• Expert-level Linux administration and strong scripting/programming skills in Python, Bash and PowerShell .
• Strong knowledge of SSO methodologies, including SAML and LDAPS, and Zero Trust security principles .
• Ability to troubleshoot complex production issues, communicate clearly with technical and business stakeholders, and take ownership through resolution.
• Availability to participate in a 24×7 rotating on-call schedule .
• Relevant post-secondary education or an equivalent combination of education and demonstrable technical experience.

Nice to Haves

• Direct experience with Google Cloud Platform and Google Kubernetes Engine (GKE) .
• Existing daily use of Claude Code, Codex, OpenCode, Gemini CLI or comparable AI tools for coding and operational work.
• Practical experience using AI for monitoring, log investigation, anomaly detection, root-cause analysis or incident response .
• Experience building workflow automations and AI integrations using LLM APIs, n8n, GCP Cloud Functions or AWS Lambda , including governed agent workflows.

Disclaimer:

AI may be used in evaluating candidates.

This posting is for an existing vacancy.