OBSERVABILITY ENGINEER Job Type: Full Time Location: Halifax, NS Work Model: Onsite / 4 Days Primary Skills: Prometheus & Grafana, Kubernetes Observability, Git

Ops & Infrastructure as Code Job Description 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 platforms with emerging AI/ML capabilities to support intelligent monitoring, predictive alerting, and self-healing infrastructure.

Key Responsibilities Design, deploy, and maintain enterprise-scale observability infrastructure using Prometheus, Grafana, Thanos, Loki , and modern collection agents.

Manage observability deployments using Git

Ops principles and Infrastructure as Code.

Implement long-term metrics storage 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.

Design and implement Prometheus monitoring strategies for Kubernetes infrastructure and containerized applications.





Create Service

Monitors and Pod

Monitors for automated metrics collection.

Develop intelligent alerting rules with minimal false positives.

Configure multi-cluster metrics federation and aggregation.

Optimize metrics cardinality, storage efficiency, and query performance.

Support scalable monitoring and observability solutions for enterprise Kubernetes environments.

Explore AI/ML capabilities for predictive monitoring, intelligent alerting, and automated remediation.

Required Skills & Qualifications Solid hands-on experience with Prometheus, Grafana, Thanos, and Loki .

Extensive experience with Kubernetes monitoring and observability .

Experience with Git

Ops methodologies and Infrastructure as Code.

Strong understanding of metrics collection, logging, tracing, alerting, and monitoring architecture.

Experience with Service

Monitors, Pod

Monitors, metrics federation, and multi-cluster monitoring.

Knowledge of cloud object storage and distributed observability architectures.

Experience supporting production, QA, UAT, and DR environments.

Strong troubleshooting and performance optimization skills.

Understanding of AI/ML-driven monitoring, predictive alerting, or self-healing infrastructure is preferred.

📌 OBSERVABILITY ENGINEER (Halifax Regional Municipality)
🏢 AceStack
📍 Halifax Regional Municipality