AI DevOps Specialist in Toronto
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Summary
Deploy, manage, and secure AI platforms (AI Sandbox, Claude Code, Gemini Antigravity) across cloud and hybrid infrastructure, including CI/CD pipelines and lab networking. Core stack: Docker, Kubernetes, Python, MLOps tooling, and network security.
Elevate your career as an AI DevOps Specialist with Celestica, working remotely in a hybrid model from Toronto, Ontario. Focus on deploying, optimizing, and securing AI frameworks and toolchains.
At Celestica, you'll play a key role in managing AI deployment within the cloud and hybrid infrastructures. This position requires extensive knowledge in DevOps, AI modeling tools, and secure networking. As the specialist, you will ensure a seamless integration between AI development pipelines and network services while leading foundational AI services implementations.
Key Responsibilities: • Own AI Sandbox deployment and lifecycle management • Establish Claude Code and Gemini Antigravity configurations • Oversee AI project governance and security permissions • Troubleshoot lab network connection issues • Implement CI/CD testing steps in pipelines
Requirements: • Bachelor’s degree in Computer Science or related field • 4+ years of DevOps or Cloud Engineering experience • Hands-on AI/MLOps platform delivery for 2 years • Proficiency with Docker, Kubernetes, and Python scripting • Understanding of networking protocols and security
Utilize your AI and DevOps expertise to help Celestica optimize its AI development processes.
At Celestica, you'll play a key role in managing AI deployment within the cloud and hybrid infrastructures. This position requires extensive knowledge in DevOps, AI modeling tools, and secure networking. As the specialist, you will ensure a seamless integration between AI development pipelines and network services while leading foundational AI services implementations.
Key Responsibilities: • Own AI Sandbox deployment and lifecycle management • Establish Claude Code and Gemini Antigravity configurations • Oversee AI project governance and security permissions • Troubleshoot lab network connection issues • Implement CI/CD testing steps in pipelines
Requirements: • Bachelor’s degree in Computer Science or related field • 4+ years of DevOps or Cloud Engineering experience • Hands-on AI/MLOps platform delivery for 2 years • Proficiency with Docker, Kubernetes, and Python scripting • Understanding of networking protocols and security
Utilize your AI and DevOps expertise to help Celestica optimize its AI development processes.