Find work in Canada.

331,033 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Save this search

Added 21 mins ago
Senior Software Engineer, DevOps & Security
Toast
Vancouver, BC
$140,000 to $230,000 USD / year
Full-time
…recent acquisitions. They are hiring a Senior Software Engineer, DevOps & Security to make the right way to build and ship the easy way for every engineer, working alongside the DevOps…
Added 50 mins ago
Full Stack Software Developer -
J&M Group
Toronto, ON
Full-time
Working familiarity with CI/CD pipelines (e.g., Azure DevOps) sufficient to integrate with an existing pipeline maintained by a separate team
Added 1 hour ago
Project Manager (AI-DLC Program)
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking a Project Manager to lead the delivery of strategic initiatives across our enterprise DevOps ecosystem. This role is responsible for coordinating complex, cross-functional…
Added 1 hour ago
Lead Project Manager - (AI-DLC)
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking a Lead Project Manager to lead the delivery of strategic initiatives across our enterprise DevOps ecosystem. This role is responsible for coordinating complex,…
Added 1 hour ago
Devops Developer
Ericsson
Bas-Saint-Laurent, QC
Full-time
À propos de l'opportunité Basé(e) à Montréal, vous rejoindrez une équipe Agile DevOps en tant que membre contributeur à part entière dès le premier jour. Il s'agit d'un rôle pratique : vous…
Added 1 hour ago
Gestionnaire principal TI, Architecture d’entreprise
Saputo Inc.
Bas-Saint-Laurent, QC
Full-time
Familiarity with Agile and DevOps methodologies.
Added 1 hour ago
Devops Developer
Ericsson
Montreal, QC
Full-time
À propos de l'opportunité Basé(e) à Montréal, vous rejoindrez une équipe Agile DevOps en tant que membre contributeur à part entière dès le premier jour. Il s'agit d'un rôle pratique : vous…
Added 1 hour ago
Développeur Java Senior
Amaris Consulting
Montreal, QC
Full-time
Appliquer les principes Agile et les pratiques DevOps tout au long du cycle de développement.
Added 1 hour ago
Gestionnaire principal TI, Architecture d’entreprise
Saputo Inc.
Georgetown, ON
Full-time
Familiarity with Agile and DevOps methodologies.
Added 1 hour ago
Software Engineer I
TD
Toronto, ON
Full-time
Full stack developer spending time on Coding, designing/solution, analysis and documentation.
Added 1 hour ago
Quality Engineering III
TD
Toronto, ON
Full-time
Ensure quality of source code; look for opportunities to effectively leverage tools and engineering practices such as DevOps tools and processes, service virtualization, monitoring tools…
Added 1 hour ago
Senior IT Developer
TD
Toronto, ON
Full-time
Minimum of 3-5 years of strong hands-on developer experience
Added 1 hour ago
Senior DevOps Engineer
Motorola Solutions
Vancouver, BC
Full-time
We are seeking a highly experienced and passionate Senior DevOps Engineer to join our team. In this pivotal role, you will be instrumental in evaluating, consolidating, and designing the…
Added 1 hour ago
Enterprise Applications Analyst
Robert Half
Calgary, AB
Full-time
Added 1 hour ago
Industrial Software Validation|
Husky Technologies
Bolton, ON
Full-time
Experience with Agile/Scrum practices and Azure DevOps tools
Added 1 hour ago
Senior Enterprise Account Executive
Harness
Toronto, ON
Full-time
…up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps…
Added 1 hour ago
Change Management Consultant
Compugen Inc
Winnipeg, MB
Contract
Use tools such as Proxima, Azure DevOps (ADO) and MS Teams to manage, track and support assigned work.
Added 1 hour ago
Senior Java Developer - Vice President
Citi
Mississauga, ON
Full-time
We are seeking a talented and passionate Senior Developer to join our Operations Workbench Scrum team. You will be a key contributor to the development of our new, cutting-edge Operations…
Added 1 hour ago
RQ10953 - Software Developer - CRM - Senior
Maarut
Toronto, ON
Contract
The Software Developer supports the delivery of assigned
Added 1 hour ago
AI DevOps Specialist (AI Enablement & Secure DevOps)
Celestica International LP
Toronto, ON
The AI DevOps Specialist is primarily responsible for the technical deployment, secure enablement, administration, and continuous optimization of Celestica’s global HPS Artificial…
Added 2 hours ago
Senior Security Engineer - Identity and Access Management
Marqeta
Remote, Canada
Full-time · Remote
Driving integration of IAM across AWS services, SaaS platforms, and developer/DevOps pipelines.
Added 2 hours ago
Business Analyst
Spait Infotech
Canada
Full-time
Experience with Jira, Confluence, Azure DevOps, or similar tools.
Added 2 hours ago
Quality Engineering III
TD
Toronto, ON
Full-time
Ensure quality of source code; look for opportunities to effectively leverage tools and engineering practices such as DevOps tools and processes, service virtualization, monitoring tools…
Added 2 hours ago
ServiceNow Administrator
Pomerleau
Montreal, QC
Full-time
Experience with DevOps tools and change management practices (an asset).
Added 2 hours ago
Directeur de projet Sr
Astek
Montreal, QC · Greater Montreal Metropolitan Area
Contract

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