Observability Engineer – Kubernetes Platform

BullTechSystem; Halifax; On-site; CAD 90,000 - 120,000; Full time

Job summary

BullTechSystem is seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team. You’ll own the complete observability stack across 50+ production Kubernetes clusters, delivering metrics, logging, tracing, and alerts to ensure reliability for mission-critical applications.

This role combines deep technical expertise in modern observability tools with emerging AI/ML capabilities to build intelligent monitoring solutions, predictive alerting, and self-healing

Qualifications

• Experience designing and operating observability stacks at scale.
• Proficiency with Prometheus, Grafana, Thanos and Loki.
• Strong experience with GitOps and IaC for deployments.

Responsibilities

• Design, deploy, and maintain enterprise-scale observability infrastructure across 50+ Kubernetes clusters.
• Implement long-term metrics storage with cloud object storage.
• Maintain observability components across dev, QA, UAT, prod, and DR environments.
• Enable intelligent monitoring with AI/ML capabilities for predictive alerting.

Skills

Prometheus

Grafana

Thanos

Loki

Kubernetes

GitOps

Tools

Argo CD

Terraform

Cloud object storage

Job description

ABOUT THE ROLE

We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization.

You’ll own the complete observability stack across 50+ production Kubernetes clusters, providing metrics, logging, tracing, and alerting capabilities that ensure exceptional reliability and performance for mission-critical applications.

This role combines deep technical expertise in modern observability tools with emerging AI/ML capabilities to build intelligent monitoring solutions, predictive alerting, and self-healing infrastructure.

WHAT YOULL DO

• Design, deploy, and maintain enterprise-scale observability infrastructure including Prometheus, Grafana, Thanos, Loki, and modern collection agents
• Manage observability deployments using GitOps principles and infrastructures code
• Implement long-term metrics storage solutions with cloud object storage
• Maintain and upgrade observability components across development, QA, UAT, production, and DR environments
• Configure distributed observability architecture spanning multiple datacenters and cloud providers

METRICS & MONITORING

• Design and implement Prometheus monitoring strategies for Kubernetes infrastructure and containerized applications
• Create Service Monitors, Pod Monitors for automated metrics collection
• Develop rules for intelligent alerting with minimal false positives
• Configure multi-cluster metrics federation and aggregation
• Optimize metrics cardinality, storage deficiency, and query performance.