Job DescriptionWHAT IS THE PROSPECT?This role is responsible for designing, implementing, and maintaining SRE (Site Reliability Engineering) and AIOps (Artificial Intelligence for IT Operations) capabilities to ensure system reliability, proactive monitoring, and automation of self-healing operations. In addition to day-to-day support, the position provides end-to-end operational ownership across systems managed by multiple enterprise teams, including incident coordination, dependency management, and escalation. The role is also responsible for key security and compliance functions such as service ID and certificate management, SSO updates, vulnerability remediation, and lifecycle management of end-of-life components.Our team supports a portfolio of multi-platform HR data pipelines that move and process data into Snowflake through multiple integrated components, requiring end-to-end monitoring, coordination, and support across systems.In addition, we support SaaS-based applications that are primarily vendor-managed, while we retain responsibility for integration, access management, monitoring, and operational oversight.WHAT WILL YOU DO?Key Responsibilities:SRE & Reliability EngineeringDefine and operationalize SLIs, SLOs, and error budgetsOwn the incident management lifecycle (detection → triage → resolution → RCA → prevention)Lead problem management and eliminate recurring issuesDevelop and maintain runbooks, playbooks,



and recovery proceduresDrive resilience engineering, including failover testing and capacity planningAIOps, Observability & LoggingImplement and optimize AIOps capabilities using platforms such as MoogsoftLeverage Dynatrace for deep APM insightsIntegrate alerting and escalation workflows with PagerDutyUtilize synthetic monitoring via CatchpointDesign and maintain centralized logging solutions using the ELK stack (Elasticsearch, Logstash, Kibana) and enterprise Logging as a Service (LaaS) platformsPerform log analysis, correlation, and anomaly detection to support proactive issue identificationDrive event noise reduction and intelligent alerting strategiesBuild dashboards and observability KPIs for operational insightsAutomation & Self-Healing SystemsDesign and implement automation-first solutions using Ansible and scripting (Python, Bash)Enable self-healing capabilities (auto-remediation, restart logic, workflow recovery)Orchestrate workflows using StonebranchReduce operational toil through automation and continuous improvementApplication & Data Platform SupportProvide L2/L3 support for data pipelines and integration workflows, including Snowflake ingestion and transformation processesSupport Snowflake pipelines, ETL workflows, and orchestration dependenciesTroubleshoot across distributed systems including:Object storage (e.G., S3)APIs, messaging, and file

📌 Senior Sre/Aiops Engineer (Toronto)
🏢 RBC
📍 Toronto