Jobs in Canada

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Added 1 month ago
Principal High-Speed Analog Layout Design Engineer
Celero Communications, Inc.
Ottawa, ON
…member of the Analog & Mixed-Signal (AMS) design team, you will lead layout development of critical blocks such as ADCs, DACs, PLLs, and other high-performance analog/mixed-signal circuits.…
Added 1 month ago
PC
Credit Risk Manager
PwC Canada
Toronto, ON
- Full-time
Collaborating with team members at various levels to lead and develop compelling client proposals, white papers, thought leadership and points of view, describing the business challenge and…
Added 1 month ago
AI DevOps Specialist (AI Enablement & Secure DevOps)
Celestica International LP
Toronto, ON
…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…
Added 1 month ago
M
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 1 month ago
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Senior Product Engineer
Docebo
Remote, Canada
- $102,800 to $137,000 CAD / year
- Full-time
- Remote
Backend breadth Node.js and TypeScript services or experience with Go, Python, PHP, or other backend technologies.
Added 1 month ago
U
Senior Business Intelligence (BI) Developer
UST
Toronto, ON
- Full-time
UST is searching for a highly skilled Senior BI Developer with a strong commercial/business domain background to design, develop, and maintain enterprise Business Intelligence solutions.
Added 1 month ago
TC
Integrator engineer
Tata Consultancy Services
Montreal, QC
- Full-time
Required – The candidate must have working experience in at least three of the following application/network security domains:
Added 1 month ago
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Marketing Engineer & Director of AEO
Equiniti
Toronto, ON
- Full-time
Lead, coach, and manage a team of web managers and developers, ensuring clear priorities, execution excellence, and ongoing professional development.
Added 1 month ago
VN
Sr. Analyst, Business Intelligence
Viral Nation
Toronto, ON
- Full-time
Lead the development and delivery of strategic reports and insights, translating complex data into actionable recommendations that drive business growth and marketing optimization.
Added 1 month ago
TR
Staff Platform Engineer - Materia AI
Thomson Reuters
Toronto, ON
- Full-time
…developers, product managers, and SREs to build robust services and developer experiences. Help to build out AI native products for tax, accounting, and audit…
Added 1 month ago
VN
Analytics Lead
Viral Nation
Toronto, ON
- Full-time
…informed decision-making for our clients and us. As an Analytic Lead, you will work collaboratively across departments to extract meaningful patterns, trends, and insights that will guide…
Added 1 month ago
B
Senior Analyst – Operations and Assurance
Brookfield
Toronto, ON
- Full-time
Lead phishing simulation and security-awareness activities, including planning, execution, results analysis, targeted follow-up, and user guidance.
Added 1 month ago
I
Test Engineer
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- $70,000 CAD / year
- Full-time
Monitor test yields and lead continuous improvement initiatives.
Added 1 month ago
S
Data Architect - Montreal
Slalom
Montreal, QC
- Full-time
Lead architecture and technical design efforts from discovery through implementation.
Added 1 month ago
Software Development Engineer II, AWS Marketplace
Amazon
Toronto, ON
- Lead the design and implementation of highly available, scalable services that handle millions of transactions
Added 1 month ago
FF
Principal Data Scientist
Forward Financing
Remote, Canada
- Full-time
- Remote
Lead the design, development, and deployment of the company's most complex and highest-stakes statistical and machine learning models, particularly in ambiguous problem spaces with no…
Added 1 month ago
KC
Information Technology (IT) Manager
Kepler Communications Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…we’re committed to creating an environment where you can grow, lead, and make a global…
Added 1 month ago
CF
Senior AI Engineer
CI Financial
Toronto, ON
- Full-time
This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs
Added 1 month ago
PC
SAP Data Management Senior Manager
Pwc Canada
Toronto, ON
- Full-time
…looking for an experienced SAP Data Management Senior Manager to lead data strategy, governance, migration, and delivery across complex transformation programs. You will work closely with…
Added 1 month ago
CF
Security Analyst II
CI Financial
Toronto, ON
- Full-time
Lead technical troubleshooting and coordinate with internal teams and vendors to resolve security technology issues.
Added 1 month ago
Actuarial Specialist
Gore Mutual Insurance
Toronto, ON · Cambridge, ON · Vancouver, BC
Lead complex pricing analyses and investigate trends impacting profitability, growth, retention, and rate adequacy.
Added 1 month ago
CF
Senior Security Specialist
CI Financial
Toronto, ON
- Full-time
Lead technical troubleshooting and coordinate with internal teams and vendors to resolve security technology issues.
Added 1 month ago
BA
Senior Analyst – Operations and Assurance
Brookfield Asset Management
Toronto, ON · Brookfield Place
- Full-time
Lead phishing simulation and security-awareness activities, including planning, execution, results analysis, targeted follow-up, and user guidance.
Added 1 month ago
P
SAP Data Management Senior Manager
PwC
Toronto, ON · Ottawa, ON · Vancouver, BC · Calgary, AB
- Full-time
…looking for an experienced SAP Data Management Senior Manager to lead data strategy, governance, migration, and delivery across complex transformation programs. You will work closely with…
Added 1 month ago
C
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
- $140,000 to $170,000 CAD / year
- Full-time

Celestica International LP

AI DevOps Specialist (AI Enablement & Secure DevOps)

Toronto, ON, Canada

Apply on careers.celestica.com About employer

Applications open in a new tab.

Job details

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

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 on careers.celestica.com 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

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Jobs in Canada