Closed listing
Observability Engineer – Kubernetes Platform
- Halifax, NS, Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
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 multi-datacenter deployments, long-term metrics storage, monitoring strategies, and intelligent alerts while optimizing metrics and query performance.
Requirements
The role seeks an experienced 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, cloud object storage, and emerging AI/ML capabilities for predictive monitoring and self-healing infrastructure.
Skills
- Kubernetes
- Observability
- Prometheus
- Grafana
- Thanos
- Loki
- GitOps
- Infrastructure as Code
- Metrics Monitoring
- Logging
- Distributed Tracing
- Alerting
- Metrics Federation
- Cloud Object Storage
- Multi-Cluster Architecture
- AI/ML Monitoring
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
Keywords
- Enterprise Kubernetes Platform
- Prometheus
- Grafana
- Thanos
- Loki
- Collection Agents
- GitOps
- Infrastructure as Code
- Cloud Object Storage
- Metrics
- Logging
- Distributed Tracing
- Alerting
- Service Monitors
- Pod Monitors
- Metrics Federation
- Multi-Cluster Monitoring
- Kubernetes Infrastructure
- Containerized Applications
- Metrics Cardinality
- Storage Optimization
- Query Performance
- Distributed Observability
- Datacenters
- Cloud Providers
- AI/ML
- Predictive Alerting
- Self-Healing Infrastructure
- Production Reliability
- Disaster Recovery