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Added 37 mins ago
Sr. Staff Software Engineer, Inference Platform
Cerebras
Toronto, ON
Full-time
We're hiring a Staff Engineer to help lead, drive, and contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our…
Added 37 mins ago
ML Systems Integration Engineer
Cerebras
Toronto, ON
Full-time
Participate in bring-up of next-generation AI hardware systems and supporting software infrastructure.
Added 37 mins ago
Staff Site Reliability Engineer – Automation and Platform
Cerebras
Toronto, ON
Full-time
8+ years in SRE, infrastructure engineering, or platform engineering, with a strong record of improving automation and reliability at large scale in FAANG, hyperscaler, or similarly…
Added 37 mins ago
Senior SDET, Inference Platform
Cerebras
Toronto, ON
Full-time
We are looking for an Inference Platform SDET to join the Inference Service Quality team at Cerebras and work on the inference platform. This team sits at the intersection of distributed…
Added 37 mins ago
Staff GPU Inference SDET
Cerebras
Toronto, ON
Full-time
8+ years of software engineering experience as an SDET, Infrastructure Quality Lead, or Systems Test Engineer.
Added 37 mins ago
Software Engineer, Inference Platform
Cerebras
Toronto, ON
Full-time
We're hiring a Software Engineer to help contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our datacenter…
Added 1 hour ago
Staff Software Engineer, Inference API
Cerebras Systems
Remote, Canada
Full-time · Remote
We are hiring a Software Engineer to build and evolve the ML API layer that makes this heterogeneous serving system accessible, reliable, and easy to use. You will work across our inference…
Added 4 hours ago
Senior Data Engineer - Data Infra (Canada)
Dandy
Remote, Canada
$133,600 to $167,000 USD / year
Full-time · Remote
Dandy is hiring a hands-on Senior Data Engineer to join our rapidly growing venture-backed company. The Data Infrastructure team owns the data platform - ingestion, pipelines, and the…
Added 5 hours ago
Sr. Software Dev Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Senior Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll lead the design and delivery of large-scale, customer-facing…
Added 5 hours ago
Sr. Software Dev Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Senior Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll lead the design and delivery of large-scale, customer-facing…
Added 6 hours ago
Observability Engineer
J&M Group
Toronto, ON
Full-time
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization.
Added 13 hours ago
Software Engineer 3 - 2-6years of experience.
Nutanix
Vancouver, BC
$103,000 to $155,000 CAD / year
Full-time
…applications easy. Nutanix simplifies your learning curve on AI-ready infrastructure with Nutanix Cloud Platform for AI (GPT-in-a-Box). This high-performant Machine Learning full-stack…
Added 18 hours ago
Platform Engineer - Kubernetes, GitOps, Flux CD & AI/ML Infrastructure
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
We're seeking a skilled Platform Engineer to deploy and manage AI/ML infrastructure, e.g. LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.
Added 21 hours ago
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
Full-time
Publicis Sapient is looking for a Senior Associate Data Engineer to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital…
Added 21 hours ago
Lead AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
Corporate IT is seeking an experienced Lead AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 21 hours ago
Senior DevSecOps Engineer
Wissen Technology
Calgary, AB
Full-time
Implement and maintain Infrastructure as Code using Terraform / OpenTofu, CloudFormation, and related tooling
Added 22 hours ago
Senior AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
Corporate IT is seeking an experienced Senior AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 23 hours ago
OBSERVABILITY ENGINEER
Zodiac Solutions, Inc
Halifax, NS
Full-time
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization.
Added 23 hours ago
Senior Data Engineer
TripleLift
Toronto, ON
We're TripleLift, an advertising platform on a mission to elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting. Through over 1…
Added 23 hours ago
Senior Data Engineer
Precision AI
Calgary, AB
Full-time
You will build the platform that fixes this. You own how field data gets from the aircraft into a governed, queryable, reproducible asset that our ML engineers can pull training sets from…
Added 1 day ago
Sr. Software Development Engineer in Test (Agentic)
Dialpad
Kitchener, ON
In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more…
Added 1 day ago
AI/ML Platform Engineer (Cloud Infrastructure)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
Full-time
Position: AI/ML Platform Engineer (Cloud Infrastructure)
Added 1 day ago
Software Engineer II
Socure
Toronto, ON · Greater Toronto Area, Canada
Full-time
The Agentic AI Foundations team is building the core platform, systems, and primitives that enable Socure to transition from traditional software workflows to agent-native operations. As a…
Added 1 day ago
Senior Data Engineer
MatchBox Consulting Group
Vancouver, BC
Contract
MatchBox Consulting Group is currently seeking a Senior Data Engineer for a 6 month contract role with a client of ours located in Vancouver.
Added 1 day ago
Platform Engineer - AI/ML Infrastructure
K&K Global Talent Solutions INC.
Toronto, ON
$110,000 to $120,000 CAD / year
Full-time
Position: Platform Engineer - AI/ML Infrastructure

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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