Observability Engineer – Kubernetes Platform
- Halifax, NS
- On-site
- Posted Oct 9, 2026
- 1 position
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- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Apply by
- Apr 6, 2027
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Entry level
- Application method
- Apply on LinkedIn (LinkedIn sign-in required)
Job summary
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.
Job details
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.
What you’ll do
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.
Listed skills
- Kubernetes · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- 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
Job areas
- Technology
- Software
- Engineering
- Data & Analytics