DevOps Senior Engineer/Architect

Summary: The primary purpose of this role is to take charge of deploying, operating, and supporting AI/GenAI workloads in a production environment, focusing on utilizing Microsoft Azure and various DevOps practices to ensure operational reliability and efficiency.

Main Responsibilities:

• Independently deploy, operate, and support AI/GenAI workloads in production environments.

• Manage Azure resources, including identity, security, and networking.

• Administer and manage Azure Kubernetes Service (AKS), including all related activities.

• Implement Kubernetes networking and traffic management strategies.

• Implement autoscaling and event-driven scaling solutions.

• Design and implement CI/CD pipelines with a focus on security and integration.

• Conduct monitoring and observability implementations for workloads.

• Establish FinOps practices for cost management and optimization.

• Troubleshoot production issues effectively and independently.

• Own production deployments and ensure operational reliability.

Key Requirements:

• 7-12 years of experience in DevOps or Cloud Engineering.

• Hands-on experience deploying and managing AI workloads.

• Strong expertise in Microsoft Azure and related services.

• Experience with Docker and Azure Kubernetes Service (AKS).

• Proficient in CI/CD pipeline design and implementation.

• Familiarity with monitoring and observability tools.

• Skilled in troubleshooting complex production issues.

Nice to Have:

• Experience with FinOps practices.

• Proficiency in AI/LLM observability and evaluation.

• Knowledge of DevSecOps security practices.

• Proficiency in both English and French.

• Knowledge of enterprise-scale project management.