Senior IT Application Specialist, DevOps

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:

155386

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.