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Added 2 mins ago
Software Support Engineer, AFT Quality
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That's not a demo. It's live, real businesses run on it today, and we ship to production many times a day. Some weeks the product changes more than most companies change in a year.

Cactus Club Cafe

Senior AI Platform Engineer

Vancouver, BC, Canada

$170,000 to $195,000 CAD / year · Full-time

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Job details

Pay: $170,000 to $195,000 CAD / year
Job type: Full-time
Apply by: Dec 5, 2026
Posting language: English
Posted: Nov 5, 2026

Original job description

At Cactus Club Cafe, we love what we do, and we love the people we do it with. As one of the most innovative restaurant concepts in Canada, we are continuously celebrated as one of the country’s best places to work. We firmly believe in creating a workplace where everyone feels welcome, supported and valued. Today, these restaurants are a national brand, and are experiencing the fastest growth in its history.

Continuously innovating and implementing new technology, our IT Team maintains and supports all technologies including audio visual, hospitality and head office based systems while partnering with Operations to rollout, implement and update programs to ensure efficiencies.

YOU ARE:

An Experienced Platform Engineer: You have 6+ years in cloud, platform or DevOps roles, running production systems people rely on. AWS or Google Cloud experience is preferred.
Hands-On with AI: You've worked directly with the Anthropic, OpenAI or Vertex AI APIs and agent frameworks, and you know what it takes to run them reliably and affordably in production.
Strong on Security: You've set up SSO and role-based access, managed secrets, and worked with logging, threat modelling and incident response.
A Technical Leader: You set best practices, review code, write documentation people can follow and help others build well.
Calm Under Pressure: You stay methodical when something breaks in production.

YOU WILL BE RESPONSIBLE FOR:

Building the AI Platform: Designing, building and running our agent platform for our AI & Workflow Automation Analysts, IT and a group of trained business builders, who work in tools like Claude Code, Codex and GitHub.
Running the Toolkit: Managing GitHub, deployment pipelines, model access and the AWS environment for our AI work.
Securing AI Systems: Owning identity, secrets, logging, network isolation and incident response, including quarterly access reviews and penetration tests.
Reviewing What Goes Live: Running the approval process for new models, tools and projects, with sign-off from Infrastructure and Security.
Supporting Production: Handling Tier 2 and Tier 3 issues escalated from our support team.
Managing Costs: Tracking model and hosting spend and flagging overruns early.
Onboarding the Team: Getting people set up on the platform and writing the guides they use.

WE WILL:

Give you the ultimate Cactus discount, 50% off food + drinks, hungry yet?
Focus on your training and development, we’re believers in lifelong learning
Foster a fun culture that makes coming to work genuinely enjoyable
Provide compensation between $170,000 to $195,000. The compensation package for this role takes various factors into consideration including market rates, experience, and qualifications
Offer a competitive benefits package and wellness spending account

Continuously on the grow, Cactus Club Cafe is one of the most successful concepts in Canada and our expansion will continue. We are always looking for talented and inspiring individuals to join our team. Applications are accepted from all individuals. Accommodations are available on request for candidates taking part in every aspect of the selection process.

Please note that due to the high volume of applicants, we will only reach out if you are selected to move forward in the interview process.

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More about this job

Responsibilities

Build and operate a secure, reliable AI agent platform, managing GitHub, deployment pipelines, model access, and the AWS environment. Oversee security reviews, production support, cost monitoring, approvals for models and projects, and platform onboarding and documentation.

Requirements

Candidates should have at least six years of experience in cloud, platform, or DevOps roles supporting production systems, with AWS or Google Cloud experience preferred. They should have hands-on experience with AI APIs and agent frameworks, strong security and incident-response capabilities, and the ability to lead technical practices, review code, and document processes.

Skills

Cloud Platform Engineering
DevOps
AWS
Google Cloud
Anthropic API
OpenAI API
Vertex AI
Agent Frameworks
Identity And Access Management
Single Sign-On
Role-Based Access Control
Secrets Management
Logging
Threat Modeling
Incident Response
Deployment Pipelines

Benefits

50% Discount On Food And Drinks
Training And Development
Competitive Benefits Package
Wellness Spending Account

Visa sponsorship

Not detected in the job text

Keywords

AI Platform
Agent Platform
Cloud Engineering
Platform Engineering
DevOps
AWS
Google Cloud
Anthropic
OpenAI
Vertex AI
Agent Frameworks
Claude Code
Codex
GitHub
Deployment Pipelines
Model Access
Identity Management
Single Sign-On
Role-Based Access Control
Secrets Management
Logging
Network Isolation
Threat Modeling
Incident Response
Penetration Testing
Access Reviews
Production Support
Cost Management
Workflow Automation
Tier 2 And Tier 3 Support

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