Senior Kubernetes Platform Engineer

RBC • Halifax, NS

14d

About The Position

RBC Capital Markets is a leading global investment banking company dedicated to providing services in banking, finance, and capital markets to corporations, institutional investors, asset managers, and governments globally. We are seeking a highly skilled Kubernetes Platform Engineer to join our dynamic and innovative team in Montreal. This role offers the opportunity to work on cutting-edge technologies and contribute to the evolution of our infrastructure. As a AI Integration Engineer, you will play a pivotal role in designing, implementing, and maintaining our Kubernetes-based infrastructure. You will collaborate with cross-functional teams to optimize and scale our platform, ensuring high availability, reliability, and security. In this role, you will communicate and interact frequently with RBC partners and/or employees located across Canada and/or worldwide

Requirements

• Bachelor’s degree in computer science, Information Technology, or related field (or equivalent experience) with 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.

Nice To Haves

• Knowledge or experience cerate MCP servers and implement AI driven workflows
• Experience with Python Web based applications (Fast API/Flask)
• Familiarity with infrastructure as code (IaC) tools like Terraform or Ansible is a plus
• Knowledge and experience working in Linux
• Experience working with Kubernetes

Responsibilities

• Design, deploy, and manage integrations of AI into existing Kubernetes clusters for various environments (development, testing, production) based on industry best practices.
• 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.

Benefits

• We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper.
• We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees