AI Integration Engineer at RBC Capital Markets responsible for designing and maintaining Kubernetes-based infrastructure with a focus on AI integration and collaboration with cross-functional teams.
Responsibilities
Design, deploy, and manage integrations of AI into existing Kubernetes clusters for various environments (development, testing, production)
Automate deployment, scaling, and management of AI solutions using Kubernetes and related tools
Implement monitoring, logging, and alerting solutions to ensure the health and performance of the AI integrations and Kubernetes clusters
Collaborate with development teams to streamline CI/CD pipelines and enhance the efficiency of software delivery
Work closely with the DevOps team to integrate AI into Kubernetes with existing infrastructure components
Implement security best practices and policies for AI and Kubernetes clusters, ensuring compliance with company standards
Requirements
Bachelor’s degree in computer science, Information Technology, or related field (or equivalent experience)
3+ years’ experience working as a Platform Engineer
Proficiency in containerization technologies such as Docker, container orchestration tools, and microservices architecture
Strong expertise in designing, deploying, and managing production environments and/or experience with cloud platforms like AWS, Azure, or GCP
Hands-on experience with integrating AI solutions into Kubernetes clusters
Benefits
A comprehensive Total Rewards Program including bonuses and flexible benefits
Competitive compensation
Commissions and stock where applicable
Leaders who support your development through coaching and managing opportunities
Work in a dynamic, collaborative, progressive, and high-performing team
Opportunities to do challenging work
Opportunities to take on progressively greater accountabilities
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