RBCxVerified Job Source

Cloud Engineer

Toronto, ON
On-site
Posted Sep 19, 2026
1 position

Opens an external site

Employment type: Full-time
Experience level: Senior · 5+ years
Minimum education: Professional degree
Posting language: English
Working hours: 38 hours per week

Job summary

You will design and operate scalable hybrid cloud services while leveraging AI-assisted engineering to automate infrastructure tasks and reduce manual toil. Additionally, you will ensure system security, compliance, and proactive monitoring across on-premise and public cloud environments.

Job details

Job Description What is the opportunity? Join our dynamic and innovative Hybrid Infrastructure Services Team, where cutting-edge technology meets a passion for driving organizational change. We operate critical shared platforms including Kafka, Elasticsearch, and Redis supporting a large number of internal application teams. We're not looking for someone who just knows Kubernetes, Kafka, Elasticsearch, and Redis. We're looking for a Senior Engineer who treats AI-assisted engineering as a core skill — someone who uses tools like Copilot and Claude Code as a default way of working, and who can go further: designing and deploying task-specific agents that handle on-call triage, onboarding validation, upgrade pre-checks, and capacity forecasting at scale. You'll help shape how our team delivers meaningfully more value faster automation, smarter self-service, quicker incident response without the tradeoffs of understanding the systems less deeply. What will you do? Engineering: Collaborate with cross-functional teams to design and implement scalable, resilient hybrid Cloud services that align with organizational goals. Use AI-assisted coding (Copilot, Claude Code, or equivalent) as your default way of writing and reviewing infrastructure code, scripts, and documentation — holding it to the same review bar as any other change, just produced faster. Design, build, and operate task-specific agents that reduce manual toil — for example, on-call triage agents that correlate metrics and past incidents, onboarding agents that validate requests against policy, or capacity-forecasting agents that flag drift weeks ahead. Define guardrails for agentic workflows: what an agent can act on autonomously versus what requires human sign-off, with full audit trails for every automated action. Conduct performance analysis and optimization of services to ensure efficiency and cost-effectiveness. Identify and implement best practices for resource utilization and scalability across diverse infrastructure landscapes. Security and Compliance: Implement and maintain security measures to safeguard on-premise and public Cloud environments and data. Ensure compliance with industry standards and regulatory requirements across deployment models, including explainability and auditability of any AI- or agent-driven action on production infrastructure. Monitoring and Troubleshooting: Set up monitoring and alerting for proactive issue identification across on-premise and public Cloud environments. Respond to incidents promptly, using AI-assisted correlation to speed up diagnosis — while owning the judgment calls (root cause, failover decisions, customer communication) that stay firmly human. What do you need to succeed? Must-have: Passion for debugging complex systems and an eye for problems that occur at scale. Deep care for the resiliency of systems and the quality of what you ship — including AI-generated changes, which get the same scrutiny as hand-written ones. Hands-on experience using AI coding assistants (Copilot, Claude Code, or similar) as part of your daily engineering workflow, not as a novelty. Scripting and automation skills (e.g., Go, Shell, Ansible, Python) for infrastructure as code. Experience with container technologies (e.g., Docker, Kubernetes). Excellent communication and organizational skills. Strong desire to learn new skills and technologies — this role expects continuous growth up a defined AI-fluency ladder (from daily AI-assisted engineering, to building personal workflow agents, to deploying production task-specific agents). Nice-to-have: Experience building or deploying LLM-based agents or tools — e.g., tool-calling/function-calling patterns, retrieval-augmented log/metric correlation, intent classification for request triage. Software development experience in Java or Rust. Familiarity with Elasticsearch, Kafka, or Redis, either from a development or operations perspective. Understanding of AI governance, model risk, or LLM failure modes (hallucination, staleness, prompt injection) in a regulated environment. Preferred certifications: Microsoft Certified: Azure Administrator Associate (or equivalent Azure/Cloud administration certification). Certified Kubernetes Administrator (CKA). Confluent Certified Administrator for Apache Kafka (CCAAK). Elastic Certified Engineer / Elasticsearch Administrator. Redis Certified Administrator or Redis Certified Developer. What’s in it for you? 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. 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. Opportunities to do challenging work. #LI-POST #TECHPJ Job Skills Agile Methodology, Cloud Computing, Cloud Computing Architecture, Cloud Platform, Infrastructure As Code (IaC), IT Systems Integration, Performance Measurement, Requirements Analysis, Software Development, Systems Software Additional Job Details Address: RBC CENTRE, 155 WELLINGTON ST 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: 2026-09-17 Application Deadline: 2026-09-24 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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. RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

What you’ll do

Requirements

The role requires a senior engineer with hands-on experience in AI coding assistants, infrastructure automation, and container technologies like Kubernetes. Candidates must demonstrate a strong passion for debugging complex systems and possess excellent communication skills to collaborate effectively within a cross-functional team.