Lead Cloud Engineer

What is the Opportunity?

We are on the lookout for a talented Lead Cloud Engineer to join our forward‑thinking team responsible for designing, implementing, and managing enterprise‑scale cloud solutions. This role will focus on building and enhancing cloud infrastructure, ensuring scalability, security, and operational excellence. You will leverage cloud technologies, including AWS and Azure, and explore AI‑driven solutions to optimize cloud operations and enhance system performance.

What will you do?

Design and deploy scalable, secure, and resilient cloud infrastructure on platforms such as AWS and Azure, ensuring alignment with enterprise standards and best practices.

Integrate AI‑driven tools and methodologies to enhance automation, optimize resource utilization, and improve operational efficiency across cloud environments.

Apply Site Reliability Engineering (SRE) principles to maintain high availability, monitor system performance, and implement robust incident response processes.

Design, deploy, and manage containerized applications using Kubernetes, ensuring seamless orchestration and scalability.

Collaborate with cross‑functional teams to enhance CI / CD processes, ensuring efficient and secure application deployments to cloud environments.

Ensure compliance with enterprise security standards and implement AI‑driven solutions to proactively identify and mitigate vulnerabilities.

Develop automated testing and monitoring frameworks to ensure the stability, performance, and reliability of cloud‑based systems.

Work closely with development, operations, and security teams to document technical processes and share knowledge across the organization.

Keep up with emerging cloud technologies, AI advancements, and industry trends to continuously improve our cloud infrastructure and engineering practices.

What do you need to succeed?

Must‑Have

7+ years of experience in cloud engineering, infrastructure design, or related roles.

Bachelor’s degree in computer science, engineering, or a related field.

Certifications in AWS and / or Azure (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert).

Proven experience designing, implementing, and managing enterprise‑scale cloud solutions on AWS and Azure.

Expertise in Kubernetes and containerization technologies like Docker, with a strong understanding of orchestration and cluster management.

Strong knowledge of Site Reliability Engineering (SRE) principles, including monitoring, alerting, and incident response.

Hands‑on experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or ARM templates.

Proficiency in CI / CD pipelines and tools such as Jenkins, GitHub Actions, or Azure DevOps.

Experience with AI tools and frameworks, including the ability to leverage AI for predictive analytics, automation, and operational improvements.

Strong understanding of networking, security, and cloud governance best practices.

Excellent problem‑solving skills, analytical thinking, and communication abilities.

Nice‑to‑Have

Experience with multi‑cloud strategies and hybrid cloud environments.

Familiarity with serverless computing and microservices architecture.

Knowledge of AI / ML integration in cloud environments, including the use of AI for anomaly detection, capacity planning, and performance optimization.

Experience with monitoring and observability tools such as Dynatrace, Prometheus, Grafana, or CloudWatch.

Strong programming skills in languages such as Python, Go, or JavaScript, with a focus on automation and scripting.

A passion for continuous learning and staying updated on the latest cloud and AI technologies.

What’s in it for you?

A comprehensive Total Rewards Program including bonuses, flexible benefits, competitive compensation, commissions, and stock where applicable.

Leaders who support your development through coaching and management opportunities.

Ability to make a difference and lasting impact.

Work in a dynamic, collaborative, progressive, and high‑performing team.

A world‑class training program in financial services.

Flexible work / life balance options.

Opportunities to do challenging work, including leveraging AI and SRE principles to drive innovation and operational excellence.

Job Skills

Cloud Computing, Cloud Computing Architecture, Cloud Migrations, Cloud Platform, Infrastructure As Code (IaC), Organizational Change Management, Performance Measurement, Process Management, Requirements Analysis, Systems Software

Additional Job Details

Address : RBC WATERPARK PLACE, 88 QUEENS QUAY W : TORONTO

City : Toronto

Country : Canada

Work hours / week : 37.5

Employment Type : Full time

Platform : TECHNOLOGY AND OPERATIONS

Job Type : Regular

Pay Type : Salaried

Posted Date : 2025-12-04

Application Deadline : 2026-01-12

Applications will be accepted until 11 : 59 PM on the day prior to the application deadline date.

Inclusion and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

Join our Talent Community

Stay in‑the‑know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well‑being of our clients and communities at jobs.rbc.com

Seniority level

Not Applicable

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Banking and Financial Services

#J-18808-Ljbffr