Find work in Canada.

545,929 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 19 hours ago
C
Application Programmer
Collabera
Mississauga, ON
- $70 to $80 USD / hour
- Full-time
We are seeking an experienced Senior Forward Deployed Engineer (FDE) with strong expertise in Java, Python, backend/full-stack development, and solution architecture. The ideal candidate…
Added 19 hours ago
V
Python Gen AI Developer
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 19 hours ago
V
Python Gen AI Developer
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 20 hours ago
S
Artificial Intelligence Engineer
Swoon
Toronto, ON
- Contract
Design and develop Python-based applications, prototypes, analytical models, and AI-enabled solutions.
Added 20 hours ago
E
AI DevOps Specialist (AI Enablement & Secure DevOps)
Experis
Canada
- Contract
…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…
Added 21 hours ago
A
IP Verification Engineer
Arm
Toronto, ON
- Full-time
As a creative problem solving Security and Embedded Processor Verification Engineer, you will be part of a team that will define and realize the Hardware Security IP and Subsystem. We will…
Added 21 hours ago
W
Software Engineer - C++ / Python / Android / Java L1
Wipro
Ottawa, ON
- Full-time
…exposure to one or more of the following technologies: C++, Python, Java, and Android…
Added 21 hours ago
UC
AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
We are seeking an experienced AI Developer (Mid to Senior Level) to lead the design, development, and deployment of enterprise-grade Artificial Intelligence and Machine Learning solutions.…
Added 21 hours ago
Q
Verification Engineer (Engineer–Senior Level)
Qualcomm
Toronto, ON
- Full-time
…create a smarter, connected future for all. As a Qualcomm ASIC Engineer, you will define, model, design (digital and/or analog), optimize, verify, validate, implement, and document IP…
Added 21 hours ago
S
RF Test Engineer
Sanmina
Ottawa, ON
- Full-time
…what we deliver, together. Â Job Purpose The Test Development Engineer role will be a key contributor in defining, developing, and deploying high quality, automated Functional Test (FT) and…
Added 21 hours ago
SS
Continuous Improvement Process Engineer
Samuel, Son & Co.
Markham, ON
- Full-time
…to: Excel, Word, PowerPoint, Visio, Power BI, SQL, Tableau, Python, AutoCAD, Solid Works,…
Added 21 hours ago
U
Full Stack Engineer
Ultrassure
Toronto, ON
- Full-time
We are looking for a Full-Stack Software Engineer to join Ultrassure as one of our early engineers.
Added 21 hours ago
AE
Campus Graduate Full-Time Engineer - 2027 AI Engineering, Enterprise Technology Services- Toronto, Ontario, CN
American Express
Toronto, ON
- $82,000 to $124,000 USD / year
- Full-time
American Express is seeking innovative and motivated graduates to join Enterprise Technology Services as an AI Engineer I focused on AI Security Research. In this full-time role, you will…
Added 21 hours ago
EC
Security Engineer - Digital Assets
eCapital Corp.
Canada
- Full-time
eCapital is seeking an experienced and highly motivated Digital Assets Security Engineer to join our growing Cybersecurity team. As we expand our adoption of digital technologies, this role…
Added 21 hours ago
C
Senior DevOps / DevSecOps Engineer
Capco
Toronto, ON
- Full-time
At Capco, we are looking for a Senior DevOps / DevSecOps Engineer to join our Technology & Engineering practice in Toronto. This is an opportunity to deliver secure, scalable automation…
Added 21 hours ago
AS
DevOps Engineer – Data Protection Services
Axelon Services Corporation
Montreal, QC
- $55.17 USD / hour
- Other
Added 21 hours ago
S
DevOps Engineer
Synechron
Montreal, QC
- $75,000 to $85,000 CAD / year
- Full-time
Une expérience professionnelle en scripting : Python, Linux Shell
Added 21 hours ago
H
Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Proficient in Python for data science and GenAI application development
Added 21 hours ago
W
Software Engineer I
Wayfair
Toronto, ON
- $120,000 to $130,000 CAD / year
- Full-time
Experience or exposure to SQL, Java, and Python
Added 21 hours ago
C
AI Security Research Engineer
Centraprise
Toronto, ON
- $50 to $60 CAD / hour
- Contract
Technical Security Research Engineer to research, prototype, evaluate, and operationalize emerging cybersecurity capabilities. This is a hands-on role for someone who can move from a…
Added 21 hours ago
ET
AVP, Lead Software AI Engineer
Encore Technical Solutions Inc.
Toronto, ON
- Full-time
Design, develop and maintain production services and user interfaces in Python and TypeScript.
Added 21 hours ago
L
Applied AI Engineer
Luxoft
Canada
- Full-time
…into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, PostgreSQL, Snowflake and AWS. We're looking for an applied AI engineer to build AI with real, measurable…
Added 21 hours ago
FS
AI Engineer
Futran Solutions
Mississauga, ON
- Full-time
Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask.
Added 21 hours ago
G
Senior AI Engineer
Guidepoint
Toronto, ON
- Full-time
We are looking for a hands-on Senior AI Engineer to take working prototypes into production and shape the architecture as the product grows. You will have broad ownership across agent…
Added 21 hours ago
HN
Mechatronics Engineer | Robotics & Automation
Harvey Nash
Vancouver, BC
- Full-time
The team is scaling quickly and looking for a Mechatronics Engineer who enjoys solving multidisciplinary problems across robotics, automation, hardware, sensors, testing and software.

Experis

AI DevOps Specialist (AI Enablement & Secure DevOps)

Canada

Contract

Apply About employer

Applications open in a new tab.

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.

Apply About employer

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

Report this job