Senior Observability Engineer

Job Description

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
  • Query languages
• 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
• Identify networking slowness and availability issues

What's in it for you?

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, and stock where applicable
• Leaders who support your development through coaching and mentoring opportunities
• Ability to make a difference and lasting impact on system reliability and user experience
• Work in a dynamic, collaborative, progressive, and high-performing team

The expected salary range for this particular position is $90,000-$140,000, depending on your experience, skills, and registration status, market conditions and business needs.

You have the potential to earn more through RBC’s discretionary variable compensation program which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals.

RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

• Drives RBC’s high-performance culture.
• Enables collective achievement of our strategic goals.
• Generates sustainable shareholder returns and above market shareholder value

Job Skills

Agile SDLC, AI Observability, Anthropic Claude AI, Database Queries, Data Query Language, Dynatrace Administration, Elastic Stack (ELK), IT Monitoring, Java (Programming Language), Microsoft Copilot, Monitoring Tools, OpenAI, Problem Solving, Python (Programming Language), Site Reliability Engineering, Software Development, SRE Observability, Telemetry Monitoring

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:

2026-09-11

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.

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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.