Senior Site Reliability Engineer

RBC•Mississauga, ON

5d•Onsite

About The Position

RBC Insurance Technology is seeking to hire a Senior Site Reliability Engineer for its Insurance Technology Platform Support team. The Insurance Technology Platform Support Team is a specialized unit dedicated to ensuring the optimal performance, availability, and resilience of IT applications used in the insurance line of business. With a unique blend of technical expertise and industry-specific knowledge, this team plays a critical role in ensuring the seamless operations of digital services that cater to both the business's internal and external stakeholders. As a Senior Site Reliability Engineer, you will bring the engineering mindset of bold ambition, curiosity and outcome focus to ensuring the performance and reliability of our systems. This role calls for a dynamic individual who excels in a collaborative environment, working with cross-functional teams to implement best practices for observability, monitoring, logging, alerting, and automation. As we evolve toward AI-driven autonomous operations, you will play a key role in transitioning from traditional reactive incident response to intelligent, self-healing systems. This role will be responsible for the development, implementation, and support of Site Reliability Engineering (SRE) solutions for applications supported by RBC Insurance Technology. You'll leverage your proficiency in Elasticsearch, Ansible, GitHub Actions, Moogsoft, PagerDuty, Dynatrace, and emerging AIOps platforms to build and maintain robust automation, intelligent observability, and AI-enhanced SRE tooling.

Requirements

4+ years of SRE or Systems Engineering experience with strong technical expertise
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
Expertise in infrastructure-as-code and configuration management, particularly Ansible
Advanced scripting capabilities in Bash, Python, PowerShell, or other similar languages
In-depth knowledge of tools such as Elasticsearch, Ansible, GitHub, OpenShift, Kubernetes, Dynatrace, Kafka, and their role in system reliability
Knowledge of creating, maintaining, and alerting on SLIs, SLOs, and other reliability metrics
Understanding of AI/ML concepts and their application to observability and operations (AIOps)
Experience with or strong interest in intelligent monitoring, anomaly detection, and automation technologies
Ability to design and implement human-AI workflows with appropriate governance controls

Nice To Haves

Insurance or financial services industry experience
Hands-on experience with AIOps platforms and intelligent observability tools
Experience with ML anomaly detection, predictive analytics, or self-healing automation
Knowledge of prompt engineering and AI model tuning for operational use cases
Experience designing Agentic AI or autonomous remediation systems
Familiarity with AI governance frameworks and validating AI outputs in regulated environments
In-depth hands-on experience in a variety of SRE tools (Azure Automation, Catchpoint, Prometheus, Splunk, Grafana)
Familiarity with containerization technologies such as Docker
Hands-on experience with DevOps CI/CD tools e.g. Jenkins, Artifactory and Vault
Experience with telemetry standardization (OpenTelemetry) and observability data correlation

Responsibilities

Contribute to the SRE product base (intelligent monitoring, alerting, machine learning anomaly detection, Agentic AI self-healing, reliability testing)
Implement and enhance AI-driven monitoring and intelligent observability capabilities across supported applications
Design and implement ML-based anomaly detection pilots, transitioning from rule-based to predictive alerting
Architect and develop Agentic AI self-healing solutions that autonomously remediate common incidents
Design human-AI workflows that balance automation efficiency with appropriate human oversight and governance
Standardize application telemetry data to increase coverage of signal types, building the foundation for advanced AI/ML capabilities
Contribute to centralization of observability and monitoring backends for advanced telemetry correlation
Collaborate with cross-functional teams to implement best practices for monitoring, logging, and incident response, driving a proactive stance on system health
Implement and manage automation processes with Ansible and GitHub Actions to streamline operational tasks
Develop and maintain custom tooling and automation scripts in languages like Bash, Python, and PowerShell to enhance operational efficiency and system reliability
Work closely with development teams to understand code changes and their impact on the production environment, ensuring that new releases meet our reliability standards
Actively contribute to the definition and tracking of SLIs, SLOs, and other critical metrics, refining our alerting and monitoring strategies accordingly
Evolve runbooks into automated remediation workflows and Agentic AI automation, reducing manual intervention
Create and refine custom tooling and automation scripts using languages such as Bash, Python, and PowerShell, supporting the infrastructure's scalability and reliability needs
Support deployments by advocating for reliability and performance improvements based on industry trends and company objectives
Participate in incident management and problem management for applications in scope and contribute to RCA Action items fulfillment
Validate and govern AI outputs to ensure compliance with financial services regulations and maintain human accountability for AI-driven decisions
Drive transformation by continuously looking for ways to automate existing processes and adopt intelligent operations
Debug production issues across services and levels of the stack and provide primary operational support
Perform production support role, including off-hours support (as part of an on-call rotation)

Benefits

bonuses
flexible benefits
competitive compensation
commissions
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
Flexible work/life balance options
Opportunities to do challenging work