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Added 1 month ago
TC
Data Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Experience with Python or scripting for data transformation and automation.
Added 1 month ago
TC
Platform Engineer - AI/ML Infrastructure
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Added 1 month ago
EB
Cloud Platform Engineer
EQ Bank
Toronto, ON
- Full-time
Good scripting abilities (PowerShell, Bash, Python, Go, etc.)
Added 1 month ago
VS
Cloud & DevOps Engineer Co-op (May 2027 | 12-16 months)
Vena Solutions
Remote, Canada
- Internship
As a Cloud & DevOps Engineer Co-op within our SaaS Technology & Operations organization, you'll contribute to teams focused on Developer Experience, DevOps, and Site Reliability Engineering
Added 1 month ago
EB
Cloud Platform Engineer
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
Good scripting abilities (PowerShell, Bash, Python, Go, etc.)
Added 1 month ago
Research Scientist, Wayve Labs
Wayve
Vancouver, BC
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex…
Added 1 month ago
I
Software Developer Specialist - Security Product
Intact
Toronto, ON
- Full-time
Expertise in at least one backend language (Java, Python, Go, or Node.js/TypeScript) and related frameworks (Spring Boot/MVC, Express.js, NestJS).
Added 1 month ago
P
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
- Full-time
Expert level in Python and Java, and strong software engineering fundamentals.
Added 1 month ago
P
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
- $154,000 to $193,000 CAD / year
- Full-time
Expert level in Python and Java, and strong software engineering fundamentals.
Added 1 month ago
Technology Lead - CAN
Infosys
Canada
Infosys is seeking an experienced DBT PySpark Developer to design, develop, and optimize scalable bigdata solutions. The candidate will work on building high-performance batch and real-time…
Added 1 month ago
E
Senior Analyst - Subsurface Innovation - 26209
Enverus
Calgary, AB
- Full-time
Advanced Excel skills; comfort with data tools (Python, SQL, Power BI, or Spotfire) and AI tools is a strong plus.
Added 1 month ago
CO
Intern, Backend Software Engineer - Team Interstellar - Winter 2027
Capital One
Toronto, ON
- Full-time
Experience with backend languages such as Java, TypeScript, or Python.
Added 1 month ago
A
Responsable Architecte IA (Intelligence Artificielle)
Avanade
Montreal, QC
- Full-time
Added 1 month ago
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Physical Design Engineer
Qualcomm
Markham, ON
- Full-time
Programming and automation using Python, Perl, TCL, Shell scripting, C/C++, and Linux/Unix environments.
Added 1 month ago
PC
Credit Risk Manager
Pwc Canada
Toronto, ON
- Full-time
Significant experience and proven ability in at least one of the following programming languages/software: Python, R, SQL, SAS, C++, etc.
Added 1 month ago
D
Manager, Actuarial Insurance Solutions (AIS) - Life & Health
Deloitte
Toronto, ON
- Full-time
Programming skills (Visual Basic, R, Python, etc.) and visualization tools like Tableau an asset
Added 1 month ago
Principal High-Speed Analog Layout Design Engineer
Celero Communications, Inc.
Ottawa, ON
Support automation initiatives through scripting and tool customization (SKILL, TCL, Python is a plus)
Added 1 month ago
W
Principal Software Development Engineer - AI Platform
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Build ML Infrastructure: Develop and deploy secure, RESTful web services using Python and Kubernetes. You will contribute to the development of multi-tenant runtime architectures that…
Added 1 month ago
S
Software Developer Intern (January 2026 12 months)
SOTI
Mississauga, ON
- Full-time
Job Title: Software Developer Intern - Back End
Added 1 month ago
PC
Credit Risk Manager
PwC Canada
Toronto, ON
- Full-time
Significant experience and proven ability in at least one of the following programming languages/software: Python, R, SQL, SAS, C++, etc.
Added 1 month ago
AI DevOps Specialist (AI Enablement & Secure DevOps)
Celestica International LP
Toronto, ON
…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…
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
PT
Machine Learning Engineer
PTx Trimble
Winnipeg, MB
- Full-time

Celestica International LP

AI DevOps Specialist (AI Enablement & Secure DevOps)

Toronto, ON, Canada

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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.

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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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