OBSERVABILITY ENGINEER

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

OBSERVABILITY STACK OWNERSHIP

Design| deploy| and maintain enterprise-scale observability infrastructure including Prometheus| Grafana| Thanos| Loki| and modern collection agents

Manage observability deployments using GitOps principles and infrastructure as 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 ServiceMonitors| PodMonitors for automated metrics collection

Develop rules for intelligent alerting with minimal false positives

Configure multi-cluster metrics federation and aggregation

Optimize metrics cardinality| storage e_iciency| and query performance

Implement recording rules for pre-aggregated metrics and SLI calculations

DASHBOARDS & VISUALIZATION

Build comprehensive Grafana dashboards for infrastructure health| application performance| and business metrics

Create reusable dashboard templates and libraries for development teams

Design executive dashboards with SLO/SLI tracking and business KPIs

Implement role-based access control and multi-tenancy in Grafana

LOGGING INFRASTRUCTURE

Deploy and manage centralized logging solutions (Loki| ELK| Splunk| or similar)

Design log retention policies balancing cost| compliance| and operational needs

Create LogQL/Lucene queries and log-base