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OBSERVABILITY ENGINEERAcestack • Toronto, ON, Canada
OBSERVABILITY ENGINEER

OBSERVABILITY ENGINEER

Acestack • Toronto, ON, Canada
10 hours ago
Job type
  • Full-time
  • Quick Apply
Job description

OBSERVABILITY ENGINEER

Job Type: Full Time
Location: Toronto, ON
Work Model: Onsite / 4 Days

Primary Skills: Prometheus & Grafana, Kubernetes Observability, GitOps & Infrastructure as Code

About the Role

We are seeking an experienced OBSERVABILITY ENGINEER to join an Enterprise Kubernetes Platform team within a leading financial services organization. The role will own the observability stack across 50+ production Kubernetes clusters, delivering metrics, logging, tracing, and alerting capabilities for mission-critical applications.

The position combines deep expertise in modern observability technologies with emerging AI/ML capabilities to enable intelligent monitoring, predictive alerting, and self-healing infrastructure.

Key Responsibilities

Observability Infrastructure

  • Design, deploy, and maintain enterprise-scale observability infrastructure using Prometheus, Grafana, Thanos, Loki, and modern collection agents.
  • Manage observability deployments using GitOps principles and Infrastructure as Code (IaC).
  • Implement long-term metrics storage solutions using cloud object storage.
  • Maintain and upgrade observability components across Development, QA, UAT, Production, and DR environments.
  • Configure distributed observability architectures across multiple data centers and cloud providers.
  • Ensure observability platforms meet enterprise reliability, scalability, and performance requirements.

Metrics & Monitoring

  • Design and implement Prometheus monitoring strategies for Kubernetes infrastructure and containerized applications.
  • Create ServiceMonitors and PodMonitors for automated metrics collection.
  • Develop intelligent alerting rules while minimizing false positives.
  • Configure multi-cluster metrics federation and aggregation.
  • Optimize metrics cardinality, storage efficiency, and query performance.
  • Monitor platform health and application performance across large-scale Kubernetes environments.

AI/ML & Intelligent Observability

  • Explore and implement AI/ML capabilities for intelligent monitoring and predictive alerting.
  • Contribute to self-healing infrastructure and automated remediation capabilities.
  • Identify opportunities to improve operational efficiency through automation and intelligent observability.

Required Skills & Qualifications

  • Strong experience with enterprise observability platforms.
  • Hands-on expertise with Prometheus, Grafana, Thanos, and Loki.
  • Strong Kubernetes monitoring and observability experience.
  • Experience with metrics collection, logging, alerting, and distributed tracing.
  • Experience with GitOps practices and Infrastructure as Code.
  • Strong understanding of Kubernetes architecture and containerized applications.
  • Experience with multi-cluster and multi-environment observability.
  • Knowledge of cloud object storage and cloud platforms.
  • Strong understanding of metrics cardinality, storage optimization, and query performance.
  • Strong troubleshooting, analytical, and problem-solving skills.

Preferred Qualifications

  • Experience implementing AI/ML-driven observability or AIOps solutions.
  • Experience with self-healing infrastructure and predictive monitoring.
  • Experience supporting large-scale financial services or other mission-critical environments.
  • Familiarity with multiple cloud providers and distributed data center architectures.
  • Experience working across Development, QA, UAT, Production, and DR environments.

Job Details

  • Job Type: Full Time
  • Location: Toronto, ON
  • Work Model: Onsite / 4 Days
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OBSERVABILITY ENGINEER • Toronto, ON, Canada

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