Senior Observability Engineer
What will you do?
Design and implement observability solutions using industry-leading platforms, establishing logging standards that enable comprehensive system visibility across all systems
Create and maintain monitoring dashboards that provide actionable insights into system health and performance, partnering with platform and application teams to integrate observability into architecture
Evaluate and recommend observability tools and vendors to ensure the organization has access to best-in-class solutions
Analyze logs, metrics, and traces to proactively identify system issues, performance bottlenecks, and translate observability data into insights about user patterns and system behavior
Develop predictive monitoring strategies using AI tools to detect anomalies, identify emerging trends, and prevent incidents before they occur
Conduct "what if" analysis using AI capabilities to model potential scenarios and their impact on system performance
Apply machine learning-based anomaly detection to identify issues proactively and use predictive analytics to forecast system behavior and prevent failures
Collaborate with cross-functional teams (Engineering, DevOps, Security, production support, product) to communicate complex observability concepts to both technical and non-technical stakeholders
Lead observability initiatives and mentor junior team members on best practices while facilitating design and problem-solving discussions across the organization
What you need to succeed?
- Must haves:
- 5+ years of experience with observability tools (ELK Stack, Dynatrace, Prometheus, Grafana, Open Telemetry, Jaeger, Aternity and Moog or similar)
- 3+ years of software engineering or infrastructure experience
- Python, Java, GO
- Expert-level knowledge of logging requirements and best practices for enhanced observability
- Demonstrated experience building and optimizing monitoring dashboards
- Proven ability to use observability data to proactively identify and resolve system issues
- Experience using AI tools for anomaly detection and trend analysis
- Alerting
- Linux, Unix
- Nice to have:
- Expertise with Tableau or advanced visualization tools
- Experience in financial technology and financial services environments
- Previous experience using recent AI tools such as Anthropic, OpenAI, Devin, Copilot, etc.
- Experience with OpenShift, Kubernetes and containerized applications
- Background in DevOps or Site Reliability Engineering (SRE)
- Experience conducting "what if" analysis and scenario modeling
- Identifying networking slowness and availability issues
Additional Job Details
- Address: 250 NICOLLET MALL:MINNEAPOLIS
- City: Minneapolis
- Country: United States of America
- Work hours/week: 40
- Employment Type: Full time
- Platform: TECHNOLOGY AND OPERATIONS
- Job Type: Regular
- Pay Type: Salaried
- Posted Date: 2026-07-15
- Application Deadline: 2026-08-14
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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.
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