Find work in Canada.

330,074 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Save this search

Added 2 hours ago
Lead Site Reliability Engineer - Database Management
SimCorp
Toronto, ON
Full-time
Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and…
Added 5 hours ago
Lead Infrastructure Architect
Financial Services Regulatory Authority of Ontario (FSRA)
Toronto, ON
Full-time
Certifications: Azure Solutions Architect Expert, Azure Administrator Associate, Azure DevOps Engineer Expert, Terraform Associate. Microsoft 365 Enterprise Administrator Expert, an asset.
Added 5 hours ago
Lead Software Engineer
Foreseeson Technology
Richmond, BC
Full-time
We are seeking an out-of-the-box thinking Lead Software Engineer to join our innovative technical projects team. The ideal candidate will have strong expertise in; building code…
Added 6 hours ago
Senior Certificate Automation Engineer
Raise
Toronto, ON
Full-time
We at Raise are hiring a Senior Certificate Automation Engineer for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet…
Added 9 hours ago
Quality Engineering III
TD
Toronto, ON
Full-time
Will act as a Software Development Engineer in Test (SDET) role or as Journey Test Lead partnering with Journey Solution Train Engineers (SLTE), Release Train Engineers (RTE), and Product…
Added 9 hours ago
AI DevOps Specialist (AI Enablement & Secure DevOps)
Celestica International LP
Toronto, ON
Google Cloud Professional DevOps Engineer or Professional Cloud Architect
Added 9 hours ago
Senior Security Engineer - Identity and Access Management
Marqeta
Remote, Canada
Full-time · Remote
We’re seeking an experienced Senior Security Engineer with a strong passion for Identity and Access Management (IAM) and proven expertise in cloud-native environments, particularly AWS. In…
Added 10 hours ago
Quality Engineering III
TD
Toronto, ON
Full-time
Will act as a Software Development Engineer in Test (SDET) role or as Journey Test Lead partnering with Journey Solution Train Engineers (SLTE), Release Train Engineers (RTE), and Product…
Added 10 hours ago
Integrator engineer
Tata Consultancy Services
Montreal, QC
Full-time
1. Lead SecDesign deep dives with the requestor of the assessment.
Added 10 hours ago
Oracle EDQ Platform Engineer
Aptino, Inc.
Brampton, ON
$50 to $55 CAD / hour
Contract
We are looking for an experienced Oracle EDQ Platform Engineer to support the migration of Oracle Enterprise Data Quality (EDQ) from on-premises environments to Microsoft Azure Cloud.
Added 11 hours ago
Performance Test Engineer
Zodiac Solutions, Inc
Toronto, ON
Full-time
The Performance Test Lead drives the non-functional testing lifecycle, defining strategies for load, stress, spike, and endurance testing.
Added 11 hours ago
Development Security Specialist (Industrial Oil & Gas Applications)
Pengcorp Ltd.
Calgary, AB
Full-time
We are seeking a Senior Application Security & DevSecOps Engineer to establish, operationalize, and continuously improve our Secure Software Development Lifecycle (SSDLC) across enterprise,…
Added 11 hours ago
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 11 hours ago
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 12 hours ago
Senior Security Platform Engineer - 100% Remote
Recrute Action
Toronto, ON
Contract
…documentation, implementation guides, and operational runbooks; lead knowledge-sharing and enablement sessions for…
Added 13 hours ago
Senior Data Engineer
fgf brands
Toronto, ON · Greater Toronto Area, ON
Other
We are seeking a Senior Data Engineer with deep expertise in designing and delivering scalable, real-time streaming as well as batch data pipelines and solutions using modern data platforms…
Added 15 hours ago
Quality Engineer III
TD
Toronto, ON
Full-time
Microsoft Certified: Azure DevOps Engineer Expert
Added 15 hours ago
Applications Development Technology Lead Analyst - Lead Java Developer - Vice President
Citi
Mississauga, ON
Full-time
Demonstrated experience acting as a technical team lead, scrum tech lead, or lead engineer guiding engineering teams.
Added 16 hours ago
Quality engineer (AEM)
Insight Global
Toronto, ON
$50 to $55 CAD / hour
Contract
The Digital Platform & Content Management team is searching for an experienced Quality Engineer to join our team. As a Quality Engineer, you will partner with development, architecture,…
Added 16 hours ago
Lead Platform Engineer (DevOps & MLOps)
Shore Consulting
Toronto, ON
Full-time
Reporting to the Director, Platform Services, the Lead DevOps Engineer is a senior, hands-on technical leader responsible for building, operating, and continuously improving Afflo’s…
Added 19 hours ago
Cloud Infrastructure & DevSecOps Engineer
InfoTrack Canada
Toronto, ON
Full-time
As the Cloud Infrastructure and DevSecOps Engineer, you will own the end-to-end cloud infrastructure and deployment pipeline for InfoTrack Canada. You will unblock critical environment…
Added 1 day ago
Senior Data Platform Engineer
Norton Rose Fulbright
Toronto, ON
Full-time
The Senior Data Platform Engineer will act as a technical lead for our technologies in any project or initiative, and is responsible for designing, developing, implementing, and supporting…
Added 1 day ago
Senior Data Platform Engineer
Norton Rose Fulbright
Calgary, AB
Full-time
The Senior Data Platform Engineer will act as a technical lead for our technologies in any project or initiative, and is responsible for designing, developing, implementing, and supporting…
Added 2 days ago
Senior Software Developer
Royal Bank of Canada
Toronto, ON
Full-time
We're looking for a Senior Backend Engineer with a passion for operational excellence and security to join our team and help shape the financial future of the next generation. You'll work…
Added 4 days ago
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
Senior Data Platform Engineer: Senior Data Platform Engineer – Zonda – Toronto, ON

Celestica International LP

AI DevOps Specialist (AI Enablement & Secure DevOps)

Toronto, ON, Canada

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: Sep 21, 2026

Apply About employer

Applications open in a new tab.

Original job description

Remote Position: Hybrid Region: Americas Country: Canada State/Province: Ontario City: Toronto

Project Objectives & Role Summary

The AI DevOps Specialist is primarily responsible for the technical deployment, secure enablement, administration, and continuous optimization of Celestica’s 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.

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.

Knowledge/Skills/Competencies

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.

Physical Demands

Salary

The stated range includes Base Salary and target Short-Term Incentive (STI) compensation only. A comprehensive benefits package is offered in addition to this range.

The range described in this posting is an estimate by the Company, and may change based on several factors, including but not limited to a change in the duties covered by the job posting, or the credentials, experience or geographic jurisdiction of the successful candidate.

109,000 - CAD 173,000

Notes

This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

Celestica is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.

Apply About employer

More about this job

Responsibilities

The AI DevOps Specialist is responsible for the deployment, secure enablement, and continuous optimization of global AI sandbox environments and software engineering toolchains. They will manage cloud infrastructure, configure agentic AI workflows, and ensure secure developer access to AI coding assistants.

Requirements

Candidates must have a Bachelor's degree in Computer Science, Software Engineering, or a related field. A minimum of 4 years of experience in DevOps or Cloud Engineering is required, with at least 2 years specifically focused on AI/MLOps platform delivery.

Skills

Google Cloud Platform
Vertex AI
DevOps
Docker
Kubernetes
Python
Bash
Zscaler
Networking
Security Engineering
LLM Tooling
Flowise AI
LibreChat
CI/CD
Cloud Governance
API Management

Visa sponsorship

Not detected in the job text

Keywords

AI DevOps
GCP
Vertex AI
LibreChat
Flowise AI
LLM
Docker
Kubernetes
Zscaler
Python
Bash
CI/CD
Azure DevOps
Jenkins
GitHub
Cloud Governance
IAM
MLOps
API Quota
Vector Databases
Claude Code
Gemini Code Assist
Terraform
Network Security
Data Sovereignty
Infrastructure as Code
Cloud Engineering
System Administration
Agentic Workflows
Model Registry

Report this job