Site Reliability Engineer (SRE), Cloud Operations

RBC•Toronto, ON

8d•Onsite

About The Position

Join the Platform Engineering & AI Operations team within OTK0, where you'll sit at the intersection of Site Reliability Engineering and intelligent infrastructure operations. This role offers the chance to shape how the bank operates, monitors, and self-heals its private and public cloud platforms — from OpenShift clusters and Kafka environments to self-healing automation systems. You'll work on real problems at enterprise scale: reducing toil for NOC, Data Center, and Branch teams, building automation that eliminates manual work, and establishing reliable operational practices. If you want to move beyond traditional ops into the future of intelligent, autonomous infrastructure operations — this is the role.

Requirements

5+ years of hands-on experience in Site Reliability Engineering, DevOps, or infrastructure operations.
Strong working knowledge of Kubernetes/OpenShift administration and troubleshooting in enterprise environments.
Hands-on experience with Ansible and Terraform for Infrastructure as Code and automation.
Proficiency in Python scripting (core to infrastructure automation and platform development).
Hands-on experience with monitoring and observability stacks (Prometheus, Grafana, ELK, or equivalent).
Experience with incident management processes, on-call rotations, and post-incident review practices.
Familiarity with capacity planning, threshold-based alerting, and performance trend analysis.
Understanding of security and compliance fundamentals, including vulnerability assessment and remediation tracking.
Experience with AI/ML concepts applied to operations (anomaly detection, intelligent alerting, predictive capacity planning).

Nice To Haves

Experience with AI/ML concepts applied to operations (anomaly detection, intelligent alerting, predictive capacity planning).
Hands-on experience with public cloud platforms (AWS, Azure, GCP) in hybrid or multi-cloud environments.
Experience with GPU/compute infrastructure for ML inference workloads

Responsibilities

Support highly scalable, secure, and highly available architectures across private and public cloud platforms (Kubernetes/OpenShift, ECE, Confluent Kafka).
Write code and scripts to automate infrastructure workflows and eliminate toil, including automation pipelines that reduce manual intervention across Data Center, Branch, and NOC operations.
Extend self-healing automation capabilities built on Ansible, automating routine operational tasks (e.g., CPU remediation) to reduce manual intervention.
Participate in and lead design reviews for new platform features, infrastructure changes, and operational integration points, ensuring alignment with security, reliability, and regulatory requirements.
Collaborate with platform teams to provide technical feedback, contribute code changes to shared repositories, and establish data standards and pipelines (e.g., ServiceNow, Prometheus) that support operational excellence.
Drive automation, CI/CD, and Infrastructure as Code practices across the team, leveraging Ansible and Terraform for deployment validation and self-healing remediation workflows.
Minimize risk of reliability failures related to durability, availability, performance, and correctness, leveraging proactive alerting and anomaly detection.
Participate in on-call rotation for platform support, incident management, and troubleshooting, triaging incidents via Grafana, Prometheus, Dynatrace, and PagerDuty.