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Added 2 mins ago
Lead Test Engineer
Genesys
Toronto, ON · ON · AB · BC
Full-time
Own the end-to-end quality strategy for batch analytics features, ensuring scalable, reliable validation across data pipelines and APIs
Added 2 mins ago
Senior Technical Lead
University of Toronto
Toronto, ON
…infrastructure, systems and network administration, programming, automation, enterprise applications, and business systems analysis within a complex and evolving academic research…
Added 2 mins ago
Sr, Manager Digital Banking
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Toronto, ON
Full-time
Lead the evolution of end-to-end customer journeys across acquisition, onboarding, funding, account management, renewals, maturity management, retention, and servicing.
Added 17 mins ago
Digital Architect - GOAPRDJP000001022
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Toronto, ON
Full-time
Supporting DevOps, cloud platform, automation, CI/CD, and environment management activities.
Added 17 mins ago
Digital Architect - GOAPRDJP000001022
S M Software Solutions Inc
Toronto, ON
Full-time
Supporting DevOps, cloud platform, automation, CI/CD, and environment management activities.
Added 17 mins ago
Test Lead - Healthcare
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Toronto, ON
Contract
…cloud-native healthcare integration solutions. This role will lead end-to-end testing strategy, API validation, automation, and healthcare system integrations while ensuring compliance with…
Added 18 mins ago
Senior/Staff Security Developer
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Added 18 mins ago
Senior Product Designer, Data
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Toronto, ON
Your work will directly impact how customers integrate with and send information to Braze, spanning areas like the user data model, custom attributes and events, data ingestion, and catalog…
Added 18 mins ago
Senior Product Designer, Data
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Your work will directly impact how customers integrate with and send information to Braze, spanning areas like the user data model, custom attributes and events, data ingestion, and catalog…
Added 18 mins ago
Director, Site Reliability Engineering
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Remote, Canada
$243,800 USD / year
Full-time · Remote
…from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right…
Added 31 mins ago
Senior Product Designer, Data
Braze
Toronto, ON
Full-time
Your work will directly impact how customers integrate with and send information to Braze, spanning areas like the user data model, custom attributes and events, data ingestion, and catalog…
Added 31 mins ago
Senior Product Designer, Data
Braze
Vancouver, BC
Full-time
Your work will directly impact how customers integrate with and send information to Braze, spanning areas like the user data model, custom attributes and events, data ingestion, and catalog…
Added 32 mins ago
Associate Digital Marketing Manager (18-Month Contract)
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Added 48 mins ago
Manager - Stress Testing Data, Controls and Analytics
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Full-time
· Design and govern data quality rules, lineage, ownership dictionaries, metadata and reconciliation points across the end-to-end aggregation process.
Added 1 hour ago
Technical QA Manager
Lumerate
Toronto, ON · Greater Toronto Area, Canada
$90,000 to $110,000 CAD / year
Full-time
3+ years of professional experience in Software Quality Assurance, QA Automation, or related technical roles such as Software Developer within a software product company.
Added 1 hour ago
Senior Product Manager, WinZip
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Canada
$130,000 to $160,000 CAD / year
Full-time
…Canada to help lead that shift. You will own product areas end-to-end: roadmap, execution, and results. This is an AI-fluent role. AI and agentic workflows are your primary way of working,…
Added 1 hour ago
Reporting & Analytics Specialist, 1 year contract
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$61,582.5 to $86,215.5 CAD / year
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Performs user testing on new reports and reviews reports/applications to evaluate effectiveness and readiness before roll-out to the report end users; delivers end user training and ongoing…
Added 1 hour ago
Senior Full Stack Developer - Express Scripts Canada
The Cigna Group
Mississauga, ON
Full-time · Other
Express Scripts Canada is actively looking to hire a Senior Full Stack Developer. The successful candidate will work closely with the business to define how best to address business…
Added 1 hour ago
Peoplesoft Analyst
eTeam
Montreal, QC
$35 to $38.13 CAD / hour
Contract
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Added 1 hour ago
Principal SAP TMS Consultant
Infosys
Mississauga, ON
$102,474 to $147,835 CAD / year
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…digital solutions. We focus on integrating advanced AI and automation to enhance operational efficiency and support long-term business objectives. Join us to be part of a team that is…
Added 1 hour ago
System Administrator
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Toronto, ON
Full-time
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Added 2 hours ago
Data Scientist - Senior - RQ11583
S M Software Solutions Inc
Toronto, ON
Internship
Work closely with business analysts and governance stakeholders to document requirements and user stories.
Added 2 hours ago
Software Developer – CRM – Senior - RQ10953
S M Software Solutions Inc
Toronto, ON
Full-time
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Added 2 hours ago
Software Developer – CRM – Intermediate - RQ10976
S M Software Solutions Inc
Toronto, ON
Full-time
We are looking for an experienced Software Developer – CRM – Intermediate with strong Oracle Siebel CRM development, configuration, integration, testing, and reporting experience. The ideal…
Added 2 hours ago
Data Scientist - Senior - RQ11583
S M Software Solutions Inc
Toronto, ON
Internship
Work closely with business analysts and governance stakeholders to document requirements and user stories.

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

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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.

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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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