Role: Observability Engineer / Banking Domain

Location: Toronto, Ontario, Canada

Work Model: Hybrid – 4 days onsite per week

Key Responsibilities

- Design, implement, and maintain enterprise observability solutions covering metrics, logs, traces, events, and application performance.
- Develop and manage monitoring and alerting strategies for critical banking applications and infrastructure.
- Implement OpenTelemetry and distributed tracing across microservices and cloud-native applications.
- Work with platforms such as Splunk, Dynatrace, Grafana, Prometheus, Elastic/ELK, or similar observability technologies.
- Create and maintain dashboards, alerts, service-level indicators (SLIs), and service-level objectives (SLOs).
- Monitor applications, APIs, databases, Kubernetes/container environments, and cloud infrastructure.
- Integrate observability tooling into CI/CD and DevOps pipelines.
- Automate monitoring, alerting, and operational processes using Python, PowerShell, Bash, or similar scripting languages.
- Analyze production incidents and performance issues using telemetry data and provide actionable recommendations.
- Collaborate with application developers, DevOps, SRE, infrastructure, security, and production support teams.
- Establish observability standards, reusable patterns, and best practices across engineering teams.
- Participate in incident response, root-cause analysis, and post-incident reviews.
- Implement proactive monitoring to identify performance degradation and potential production issues before they impact customers.
- Ensure monitoring and observability practices align with banking security, compliance, audit, and risk requirements.




- Support capacity planning, performance optimization, and reliability engineering initiatives.

Required Skills & Experience

- 10+ years of experience in Observability, SRE, DevOps, Production Engineering, or Monitoring Engineering.
- Strong understanding of observability concepts: logs, metrics, traces, events, alerting, SLIs/SLOs, and distributed tracing.
- Hands-on experience with one or more major observability platforms:
- Splunk
- Dynatrace
- Grafana
- Prometheus
- Elastic Stack / ELK
- AppDynamics
- New Relic
- Strong experience with OpenTelemetry and/or modern distributed tracing.
- Experience monitoring microservices, REST APIs, Kubernetes, Docker, and cloud environments.
- Solid knowledge of Linux/Unix environments.
- Experience with scripting/programming using Python, Bash, PowerShell, or Java/Groovy.
- Experience with AWS, Azure, or GCP observability and monitoring services.
- Understanding of CI/CD, Git, Jenkins, GitHub Actions, GitLab, or Azure DevOps.
- Knowledge of databases, messaging platforms, APIs, and distributed systems.
- Strong troubleshooting and analytical skills.
- Experience working in production/24x7 enterprise environments.
- Previous experience supporting banking, financial services, payments, capital markets, or insurance environments is highly preferred.
- Understanding of production controls, change management, incident management, and operational risk.
- Familiarity with environments requiring strong security, auditability, resiliency, availability, and regulatory compliance.
- Experience supporting high-volume, business-critical applications is an advantage.

📌 observability engineer (Toronto)
🏢 apptoza
📍 Toronto