Senior Observability Engineer

RBC

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Minneapolis, MN
Salary
$90,000–$140,000 / yr
Posted
29 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $188k
This role $115k
$74k most similar roles pay here $238k

This role pays less than 97% of similar roles. Most pay $154,768–$222,000 — the shaded band above. At the midpoint, this role pays about $115k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About RBC

RBC (Royal Bank of Canada) is Canada''s largest bank by market capitalization, offering a broad range of personal and commercial banking, wealth management, insurance, and capital markets services. Industry: Banking & Financial Services

RBC currently has 9 open roles on FindRole.

Listed pay typically runs $112,500–$192,500 across 6 roles with salary data.

Most-posted roles

View all roles at RBC

At a glance

TL;DR · Senior Observability Engineer

As a Senior Observability Engineer, you will join the team to design and implement observability solutions that establish logging standards and provide comprehensive system visibility across all platforms. You will build and maintain monitoring dashboards to provide actionable insights into system health while partnering with cross-functional teams to integrate observability into architecture. Your daily work involves analyzing logs, metrics, and traces to identify performance bottlenecks and using AI tools for predictive monitoring and anomaly detection. The role requires expertise in the ELK Stack, Dynatrace, Prometheus, Grafana, Open Telemetry, Jaeger, Aternity, and Moog. You will utilize Python, Java, Go, and various query languages within Linux and Unix environments. This position focuses on solving complex system reliability issues and proactively preventing failures through advanced telemetry monitoring and data-driven insights in a technical environment.

What you'll do

  • Design and implement observability solutions using industry-leading platforms to establish logging standards across all systems.
  • Create and maintain monitoring dashboards that provide actionable insights into system health and performance.
  • Analyze logs, metrics, and traces to proactively identify system issues and performance bottlenecks.
  • Develop predictive monitoring strategies using AI tools to detect anomalies and prevent incidents before they occur.
  • Conduct "what if" analysis using AI capabilities to model potential scenarios and their impact on system performance.
  • Evaluate and recommend observability tools and vendors to ensure the organization uses best-in-class solutions.
  • Lead observability initiatives and mentor junior team members on best practices and design discussions.

What we're looking for

  • Must have 5+ years of experience with observability tools such as ELK Stack, Dynatrace, Prometheus, Grafana, or OpenTelemetry.
  • Must have 3+ years of software engineering or infrastructure experience.
  • Proficiency in programming languages including Python, Java, and Go is required.
  • Expert-level knowledge of logging requirements and best practices for enhanced observability is required.
  • Demonstrated experience building and optimizing monitoring dashboards to provide actionable insights.
  • Proven ability to use observability data to proactively identify and resolve system issues.
  • Experience using AI tools for anomaly detection, trend analysis, and predictive monitoring.
  • Proficiency in Linux and Unix systems is required.

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