OBSERVABILITY ENGINEER
- Halifax, NS, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original 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.
"
More about this job
Responsibilities
Design, deploy, and maintain an enterprise observability stack across more than 50 Kubernetes clusters, covering metrics, logging, tracing, and alerting. Manage multi-environment and distributed deployments, long-term metrics storage, monitoring strategies, and intelligent alerts while optimizing storage and query performance.
Requirements
The role seeks an experienced, mid-senior Observability Engineer with deep expertise in modern observability tools and Kubernetes platforms. It also calls for experience with GitOps, infrastructure as code, multi-cluster monitoring, distributed environments, and emerging AI/ML capabilities for predictive alerting and self-healing infrastructure.
Skills
- Observability
- Kubernetes
- Prometheus
- Grafana
- Thanos
- Loki
- Metrics Monitoring
- Logging
- Distributed Tracing
- Alerting
- GitOps
- Infrastructure as Code
- Cloud Object Storage
- Metrics Federation
- Metrics Cardinality Optimization
- AI/ML Monitoring
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
Keywords
- Enterprise Kubernetes Platform
- Observability
- Prometheus
- Grafana
- Thanos
- Loki
- Collection Agents
- Metrics
- Logging
- Tracing
- Alerting
- GitOps
- Infrastructure as Code
- Cloud Object Storage
- Kubernetes
- Containerized Applications
- Service Monitors
- Pod Monitors
- Metrics Federation
- Multi-Cluster Aggregation
- Metrics Cardinality
- Storage Optimization
- Query Performance
- Distributed Architecture
- Datacenters
- Cloud Providers
- AI/ML
- Predictive Alerting
- Self-Healing Infrastructure
- Disaster Recovery