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Added 14 mins ago
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Quality Assurance Specialist
Gastops
Ottawa, ON
- Contract
…compliance, and continual improvement of Gastops’ Quality Management System (QMS). The position independently leads and executes assigned quality assurance activities, including internal…
Added 14 mins ago
CT
Lead/Senior Data Engineer
Celebal Technologies
Ottawa, ON
- Contract
Our client is seeking an experienced, hands-on Senior Data Engineer to help build and scale the enterprise data foundation supporting Analytics, AI, and self-service decision-making across…
Added 44 mins ago
EN
Principal Wireless SW Engineer
Extreme Networks
Toronto, ON
- Full-time
The Principal Wireless Software Engineer is a senior technical leader responsible for resolving the most complex and business-critical customer issues escalated through the Global Technical…
Added 44 mins ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working…
Added 44 mins ago
Engineer
Toronto Hydro
Toronto, ON
Reporting to the Manager, Engineering, Engineering Policy and Product Change, the Engineer is responsible for providing a broad range of engineering support services to ensure the technical…
Added 1 hour ago
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Ingénieur(e) de projets / Project Engineer
Veolia | North America
Montreal, QC
- Full-time
Reporting to the Manager - Engineering, the Project Engineer directs the technical
Added 1 hour ago
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Founding Product Manager
Klarify (YC P26)
Canada
- Full-time
You'd join Moody (CEO), Bergie (CTO) and Zach (founding engineer) as one of our first hires. You'll own product and work directly with the CEO, with a focus on adoption and expansion:…
Added 1 hour ago
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Software Engineering SMTS
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
…and act on the right data.We are looking for a Lead Software Engineer to help us build agentic experiences for product setup and configuration. You will help design a core agent framework,…
Added 1 hour ago
M
Flight Control Systems Engineer
MANNARINO
Montreal, QC
- Full-time
Develop and review High-Level Requirements (HLRs) based on customer and system requirements.
Added 1 hour ago
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Ingénierie - Conception des lois de commande de vol-Engineering -Flight Control Laws Design
Cyient
Montreal, QC
- $80,000 to $100,000 CAD / year
- Full-time
Evaluate CLaws and FBW system failures, system stability and performance with analytical methods, desktop simulations, pilot in the loop simulator tests and flight test data
Added 1 hour ago
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Software Engineer - GPU Networking & Distributed Systems
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
At Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We…
Added 1 hour ago
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Software Engineer - Infrastructure
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core…
Added 1 hour ago
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Software Engineer - Voice AI (Inference Runtime)
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
Voice is becoming the internet’s next interface, but a production-grade Voice AI system is "hard to build". You’ll join a small founding team of Baseten Voice AI, focused on bringing…
Added 1 hour ago
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Software Engineer - Model Performance Systems
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
System Profiling: Use profilers like PyTorch Profiler, NVIDIA Nsight Systems and py-spy to collect performance profiles, identify bottlenecks, and debug the compute/networking stack.
Added 1 hour ago
B
Software Engineer - Infrastructure
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core…
Added 1 hour ago
B
Software Engineer - GPU Networking & Distributed Systems
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
At Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We…
Added 1 hour ago
B
Software Engineer - Voice AI (Inference Runtime)
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
Voice is becoming the internet’s next interface, but a production-grade Voice AI system is "hard to build". You’ll join a small founding team of Baseten Voice AI, focused on bringing…
Added 1 hour ago
B
Software Engineer - Model Performance Systems
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
System Profiling: Use profilers like PyTorch Profiler, NVIDIA Nsight Systems and py-spy to collect performance profiles, identify bottlenecks, and debug the compute/networking stack.
Added 1 hour ago
A
Technical Documentation & BOM Specialist
Actalent
Ottawa, ON
- $30 to $50 CAD / hour
- Contract
…focused on next-generation high-speed networking technology. The engineer will be responsible for inspecting, documenting, and managing components in test stations, ensuring accurate bills…
Added 2 hours ago
C
Transmission Lines Engineer-In-Training (Civil)
CIMA+
AB · Edmonton, AB
- $71,200 to $97,900 CAD / year
- Full-time
…what’s expected of us to meet the challenges of tomorrow and engineer a better…
Added 2 hours ago
MS
Senior Engineer II, Proxy
Menlo Security Inc.
Canada
- Full-time
We're hiring a senior engineer to join the team that owns the ingress proxy service. The proxy is the primary path into the product for most users. As AI adoption grows, our customers want…
Added 2 hours ago
T
Quality Assurance Engineer
Trulioo
Vancouver, BC
- Full-time
Reporting to the Manager, Quality Assurance, the Quality Assurance Engineer will be responsible for delivering quality software for the Trulioo SaaS platform. This role involves designing…
Added 2 hours ago
Enterprise Account Executive - Toronto
Novisto
Toronto, ON
Prepare effective presentations with support from the Sales Engineer.
Added 3 hours ago
IH
power engineer
Interior Health Authority
Williams Lake, BC
- Full-time
Assist in locating and isolating system problems
Added 3 hours ago
PE
Senior Mechanical Engineer
Polar Engineering
Vancouver, BC
- Full-time
Senior Mechanical Engineer - Team Lead, Vancouver

Experis

AI DevOps Specialist (AI Enablement & Secure DevOps)

Canada

Contract

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Job details

Job type: Contract
Experience: ● 4+ years of hands-on experience in DevOps, Cloud Engineering, or System Administration, with at least 2 years focused specifically on AI/MLOps platform delivery.
Posting language: English
Posted: Oct 29, 2026

Original job description

AI DevOps Specialist (AI Enablement & Secure DevOps)

Contract Duration: 1 year + extension

Work Location: North York, ON.

Work Model: Hybrid preferred but open to considering remote

Operational Scope: Support across global Hardware Platform Solutions (HPS) Design Centers and secure testing labs (including the Hardware Platform Solutions (HPS) Innovation Lab and local RDL networks).

Project Objectives & Role Summary:

The AI DevOps Specialist is primarily responsible for the technical deployment, secure enablement, administration, and continuous optimization of the global HPS Artificial Intelligence (AI) sandbox, modeling, and software engineering toolchains.

This specialist will bridge the gap between AI development pipelines, secure networking infrastructure, and cloud platform services. They will take a hands-on lead in configuring foundational AI cloud services (primarily Google Cloud Platform - Vertex AI), managing user-facing web interfaces (LibreChat or Gemini Enterprise Agent Platform), implementing agentic workflow architectures (Flowise AI or Gemini Enterprise Agent Platform), ensuring secure, uninterrupted developer access to AI coding assistants (such as Claude Code, Gemini Code Assist, and Claude Sonnet/Opus models), and establishing robust cloud budget governance.

Core Responsibilities & Scope of Work

AI Sandbox Platform Administration & Deployment

Multi-Phase Sandbox Rollout: Own the deployment and lifecycle management of the HPS AI Sandbox environment across cloud and hybrid infrastructures.

Front-End User Interfaces: Deploy, configure, and maintain LibreChat (or similar web-based interfaces) to provide HPS engineers with safe, compliant, and localized access to LLMs.

Agentic Frameworks: Establish and configure Flowise AI or Gemini Enterprise Agent Platform for the design and orchestration of agentic AI workflows and LLM-backed applications.

Model Registry & Endpoints: Administer model deployment, model endpoint configurations, and vector databases within the sandbox environment.

GCP & Vertex AI Model Management

Project Governance: Oversee the HPS-designated GCP AI projects (e.g., gcp-ai-hps), including security permissions, service accounts, and IAM roles.

Model Enablement & Quota Tuning: Coordinate the provisioning and scale-out of advanced foundational models (including Anthropic Claude 3.5/3.6/3.7 suite [Opus, Sonnet, Haiku] and Google Gemini) in Vertex AI. Actively manage, troubleshoot, and resolve API quota restrictions with cloud providers.

Local Code Integration: Ensure developer command-line interfaces and local development terminals (such as Claude Code, VS Code, and GitKraken) seamlessly communicate with cloud model endpoints.

Secure DevOps & Network Integration (Zscaler & Firewall)

Lab Network Troubleshooting: Diagnose and resolve intermittent connection issues between HPS Design Labs (such as the Innovation Lab) and external AI resources or code repositories (e.g., troubleshooting DNS, routing timeouts, and SSL inspection blocks on GitHub).

Traffic Rules & Proxy Controls: Partner with Network Security to define, test, and troubleshoot Zscaler ZTNA app connectors, firewall rules, and proxy exceptions necessary to enable secure outbound AI API traffic while protecting proprietary codebase egress.

CI/CD Integration: Work alongside DevOps administrators to embed automated vulnerability checks, binary scanning, and AI-assisted testing steps in Azure DevOps, Jenkins, and GitHub pipelines.

Cloud Budget Governance & Financial Controls

Cost Allocation & Monitoring: Design and implement rigid budget monitoring, consumption alerts, and cost-attribution controls in GCP to track HPS developer usage.

Usage Auditing: Develop weekly/monthly utilization dashboards to track API token consumption, model call costs, and sandbox compute runtimes.

ROI Optimization: Provide recommendations on token limits, model pruning, caching strategies, and model choice (e.g., optimizing workloads to use Haiku or Flash models where appropriate to conserve budget).

AI Security, IP Protection & Compliance

Data Sovereignty Compliance: Enforce enterprise policies ensuring that no proprietary hardware schematics, PCB layouts, firmware source code, or IP are ingested into public training models.

Evaluation & Testing: Support the isolation of the HPS Innovation Lab to evaluate new open-source models, libraries, and AI security evaluation tools prior to general HPS rollout.

Technical Qualifications

Education & Experience

Bachelor’s degree in Computer Science, Software Engineering, DevOps, Cloud Engineering, or equivalent technical experience.

4+ years of hands-on experience in DevOps, Cloud Engineering, or System Administration, with at least 2 years focused specifically on AI/MLOps platform delivery.

Required Technical Skills

Cloud Platform Expertise (GCP): Advanced experience with Google Cloud Platform (GCP) and specifically Vertex AI / Model Garden, IAM, billing alerts, and VPC setups.

AI Toolchain & LLM Tooling: Proven experience deploying and maintaining containerized LibreChat architectures, Flowise AI (or LangChain/LlamaIndex equivalents), and local/cloud LLM APIs.

Networking & Security Engineering: Solid understanding of enterprise networking protocols (DNS, TCP/IP routing, NAT, SSL/TLS handshake) and secure access controls (Zscaler ZTNA, enterprise Firewalls).

Containerization & Orchestration: Strong proficiency with Docker, docker-compose, and Kubernetes to deploy scalable sandbox services.

Code Assist Integration: Familiarity with the configuration of developer-focused AI integrations like Claude Code, Gemini Code Assist, or MSFT Copilot CLI inside Linux/Mac environments.

Automation & Scripting: Strong scripting abilities in Python (specifically utilizing AI/ML libraries, request handling, and GCP SDKs) and Bash.

Preferred Certifications

Google Cloud Professional DevOps Engineer or Professional Cloud Architect

Google Cloud Professional Machine Learning Engineer

Certified Kubernetes Administrator (CKA)

HashiCorp Certified: Terraform Associate

Working Style & Competencies

Diagnostic Mindset: Exceptionally strong debugging skills for networking, package distribution, and cloud service interconnections.

Proactive Collaboration: Able to work cross-functionally with HPS Hardware Design Teams, Enterprise IT, Corporate Security, and external consulting suppliers (e.g., Elastify).

Detail-Oriented Documentation: High commitment to writing complete, clear Standard Operating Procedures (SOPs), system topologies, and budget management guidelines.

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More about this job

Responsibilities

Deploy, administer, and optimize the global AI sandbox and related toolchains, including Vertex AI services, model endpoints, user interfaces, and agentic workflow platforms. Integrate secure network access and CI/CD checks, protect proprietary intellectual property, and manage cloud budgets, usage monitoring, and cost optimization.

Requirements

Requires a bachelor’s degree in a relevant technical field or equivalent experience, plus at least four years in DevOps, cloud engineering, or system administration, including two years focused on AI/MLOps platform delivery. Candidates should have advanced GCP and Vertex AI experience, container and orchestration skills, enterprise networking and security knowledge, and Python and Bash scripting abilities; relevant cloud, Kubernetes, and Terraform certifications are preferred.

Skills

Google Cloud Platform
Vertex AI
AI/MLOps
LibreChat
Flowise AI
Cloud IAM
Networking and Troubleshooting
Zscaler ZTNA
Docker
Kubernetes
Python
Bash
CI/CD
Cloud Cost Governance
AI Security
Terraform

Visa sponsorship

Not detected in the job text

Keywords

Google Cloud Platform
Vertex AI
Model Garden
AI Sandbox
AI/MLOps
LibreChat
Flowise AI
LangChain
LlamaIndex
Anthropic Claude
Google Gemini
IAM
VPC
Zscaler ZTNA
Enterprise Firewalls
DNS
TCP/IP
SSL/TLS
Docker
Docker Compose
Kubernetes
Python
Bash
Azure DevOps
Jenkins
GitHub
CI/CD
Cloud Cost Governance
Google Cloud Professional DevOps Engineer
Google Cloud Professional Machine Learning Engineer

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