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Added 6 mins ago
V
Warehouse Associate - Sudbury, ON
Victaulic
Sudbury, ON · Ontario - Sudbury
- Full-time
Victaulic, headquartered in Easton, Pennsylvania, is the global leader in mechanical pipe joining solutions, delivering advanced technologies and engineering services to address complex…
Added 22 mins ago
T
Software Engineer II - Angular UI
TD
Toronto, ON
- Full-time
Added 22 mins ago
W
Senior Process Engineer - Uranium Processing Specialist
Wood
Saskatoon, SK
- $157,000 to $192,000 CAD / year
- Full-time
Wood currently has an exciting opportunity for a Senior Process Engineer - Uranium Processing Specialist at any of our Wood offices in BC, AB, or SK. Reporting to the Process Department…
Added 22 mins ago
IG
AI Data Science Engineer
Insight Global
Toronto, ON
- $80 to $94 CAD / hour
- Contract
We are seeking an AI Data Science Engineer to join a team focused on developing and productionizing advanced AI and machine learning solutions for Commercial Banking and underwriting.
Added 22 mins ago
CD
Advanced Manufacturing & Automation Engineer
Crop Defenders Ltd
Windsor, ON
- Full-time
Advanced Manufacturing & Automation Engineer – Windsor, ON
Added 51 mins ago
MA
Flight Control Engineer
Mobile Apps US
Quebec, QC
- Full-time
Job Description: Flight Controls Laws Design Engineer
Added 51 mins ago
SE
Embedded Software Engineer
Schneider Electric
Victoria, BC
- Full-time
Join Schneider Electric's Embedded Design team in Victoria, British Columbia, and contribute to the development of advanced power metering solutions, including the ION8700, ION9000, and…
Added 51 mins ago
TC
Full Stack Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Advanced experience as a Fullstack Developer, with hands-on expertise in Java Spring Boot and
Added 51 mins ago
IS
Senior QA Engineer (Python & French Language Mandatory)
InfiCare Staffing
Toronto, ON
- Contract
Looking for a Senior QA Engineer with strong Python automation, advanced SQL, AWS data pipeline testing, and backend/API testing experience. The role focuses on simulating high-volume…
Added 1 hour ago
AM
Sr. Systems Design Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
AMD is looking for a systems integration engineer to provide thought leadership and subject matter expertise to our growing team. As a key contributor, you will have a strong technical…
Added 1 hour ago
SG
Senior Automation Engineer
Socomec Group
Brampton, ON
- Full-time
Socomec is seeking a Senior Automation Engineer to join our Energy Storage Systems (ESS) R&D team. This role will focus on the development, integration, testing, and commissioning of…
Added 1 hour ago
ZT
Quality Assurance Engineer
Zensar Technologies
Toronto, ON
- Full-time
Deep-Dive Analysis: Execute advanced SQL queries against MySQL/Snowflake/Hive databases to verify data accuracy, consistency, and completeness across the Datalinx ecosystem.
Added 1 hour ago
ML
AI Engineer
MACHINE LEARNING TECHNOLOGIES LLC
Toronto, ON
- Full-time
Advanced Python programming skills (NumPy, Pandas, Matplotlib, Boto3).
Added 1 hour ago
W
Data Engineer
Wiraa
Canada
- Full-time
We are seeking a versatile and highly motivated Data Engineer to join our data analytics and reporting team. This pivotal role bridges the gap between raw data and actionable business…
Added 2 hours ago
Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS), Measurement, Ad Tech, and Data Science (MADS), MADS Data Signals
Amazon
Toronto, ON
Added 2 hours ago
J
Civil Engineer (design and projects)
JobsMedia.io
Montreal, QC
- Full-time
…Rigorous, autonomous, and possessing strong communication skills Advanced level of spoken and written French Good knowledge of English (an…
Added 2 hours ago
Wiring Engineer
Westerkirk
Calgary, AB · Mississauga, ON
We’ve manufactured over 5,600 aircraft including the most advanced turboprop in the air today. Our experience and expertise in constructing the highest performing aircraft in the industry…
Added 2 hours ago
Mechanical Systems Engineer
Westerkirk
Calgary, AB · Mississauga, ON
We’ve manufactured over 5,600 aircraft including the most advanced turboprop in the air today. Our experience and expertise in constructing the highest performing aircraft in the industry…
Added 3 hours ago
SP
Software Engineering SMTS
Salesforce Partner Canada
Toronto, ON
- 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 3 hours ago
C
Senior Presales Engineer
ChapsVision
Montreal, QC
- Full-time
Nous recherchons un(e) Ingénieur(e) avant-vente (PreSales Engineer) afin de soutenir la croissance d’ArgonOS en Amérique du Nord.
Added 3 hours ago
AM
Systems Design Engineer 2
Advanced Micro Devices, Inc
Markham, ON
- Full-time
We are looking for a dynamic, energetic Systems Design Engineer to join our growing team. Hands on technical role to drive both Out of Band and In Band System Management testing. These…
Added 4 hours ago
M
Dynamics 365 CRM Solution Engineer
Microsoft
Calgary, AB · Edmonton, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…exceptional employee and customer experiences. By integrating advanced AI capabilities across devices, cloud platforms, and everyday business applications, we help organizations realize…
Added 4 hours ago
LC
Engineer - Program Manager
Linamar Corporation
Guelph, ON
- Full-time
The Engineer – Program Manager Position is responsible for independently working as a
Added 4 hours ago
NB
QRM CHIEF DEVELOPER
National Bank of Canada
Toronto, ON
- Full-time
Advanced knowledge of SQL Server development and administration.
Added 4 hours ago
NB
LEAD PYTHON DEVELOPER – IT TREASURY PLATFORMS
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Montreal, QC
- Full-time
Significant hands-on experience as a senior software engineer, lead software engineer, technical lead, or in an equivalent engineering leadership role, including taking new solutions into…

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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