AI DevOps Engineer: Secure Sandbox & Cloud Enablement

Celestica; Toronto; On-site; CAD 109,000 - 173,000; Full time

Benefits offered by this job

Comprehensive benefits package

Job summary

Celestica is seeking an AI DevOps Specialist to deploy and optimize our global AI sandbox, modeling, and toolchains. You will bridge AI development pipelines with secure networking and cloud services, leading agentic workflows and governance.

You will configure AI services, ensure secure developer access, and collaborate with infrastructure teams to maintain robust cloud governance and scalable AI tooling. This role requires hands-on expertise and cross-functional collaboration.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, DevOps, Cloud Engineering, or equivalent.
• 4+ years hands-on DevOps/Cloud Engineering with at least 2 years AI/MLOps platform delivery.
• Experience deploying containerized microservices and LLM APIs.

Responsibilities

• AI Sandbox Platform Administration & Deployment: Own deployment and lifecycle management of the HPS AI Sandbox across cloud and hybrid infrastructures.
• Agentic Frameworks: Establish and configure Claude Code, Gemini Antigravity Code, and Codex for agentic AI workflows and LLM-backed apps.
• Project Governance: Oversee AI projects, including security permissions, service accounts, and IAM roles.
• Model Enablement & Tuning: Provision and scale advanced foundational models; troubleshoot API restrictions with cloud providers.
• Secure DevOps & Network Integration: Define and troubleshoot Zscaler ZTNA app connectors, firewall rules, and proxy exceptions.

Skills

AI Toolchain & LLM Tooling

Networking & Security Engineering

Containerization & Orchestration

Code Assist Integration

Automation & Scripting

Education

Bachelor's degree in Computer Science / Software Engineering / DevOps / Cloud Engineering

Tools

Docker

docker-compose

Kubernetes

Job description

Celestica is seeking an AI DevOps Specialist to deploy and optimize our global AI sandbox, modeling, and toolchains. You will bridge AI development pipelines with secure networking and cloud services, leading agentic workflows and governance.

You will configure AI services, ensure secure developer access, and collaborate with infrastructure teams to maintain robust cloud governance and scalable AI tooling. This role requires hands-on expertise and cross-functional collaboration.