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# Lead SRE (AWS CloudWatch

- **Company:** Systems, Inc
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Application Performance Management, Software Design Documents, Monitoring of Systems, Role-Based Access Control, Prometheus, Runbook, Datadog, Grafana, Cloudformation, Infrastructure Automation Frameworks, Cloudwatch, Splunk, Dynatrace
- **Published:** August 28, 2026
- **Apply:** https://www.dice.com/job-detail/c0bfba7b-4d2e-40e8-88b3-6e5f08f95f4b

## About the Role

* 8+ years of relevant hands-on delivery experience at L6 scope
 * Prior delivery in a large regulated enterprise environment, preferably financial services
 * Ability to write architecture decision records, design documents, runbooks and test evidence for client Tech Risk review
 * Strong stakeholder communication across engineering, security, operations, SRE and delivery teams

## Description

Lead SRE observability workstream focusing on AWS-native monitoring solutions, migrating from third-party tools (Datadog/Splunk) to AWS CloudWatch ecosystem. Design and implement comprehensive observability architecture using CloudWatch Metrics V2, AWS AppSignals, AWS Distro for OpenTelemetry (ADOT), and AWS X-Ray. Establish enterprise-grade dashboards, alerting frameworks, and CloudFormation-based infrastructure automation for monitoring stack deployment.

Top Skills:

 * Amazon CloudWatch Metrics V2
 * AWS AppSignals
 * AWS Distro for OpenTelemetry (ADOT)
 * AWS X-Ray, * Observability Migration Leadership: Lead migration from Datadog/Splunk to AWS CloudWatch Metrics V2, ensuring feature parity, cost optimization, and minimal disruption to monitoring capabilities
 * Deep Metrics Integration: Implement advanced CloudWatch metrics collection from ZeHorizon platforms, custom application metrics, and infrastructure telemetry with enhanced resolution and dimensionality
 * Distributed Tracing & APM: Design and deploy AWS X-Ray distributed tracing architecture integrated with ADOT (AWS Distro for OpenTelemetry) for end-to-end application performance monitoring
 * AppSignals Implementation: Configure AWS AppSignals for automatic service-level objective (SLO) tracking, anomaly detection, and application health monitoring
 * Dashboard & Alerting: Create CloudWatch dashboards with cross-service correlation, CloudWatch Alarms with composite alarms, and EventBridge-based alert routing to incident management systems
 * Infrastructure as Code: Develop CloudFormation templates (CFT) for repeatable observability stack deployment across multi-account/multi-region environments
 * Cost Optimization: Optimize CloudWatch costs through metric filtering, log retention policies, and efficient query patterns while maintaining observability coverage

Observability & Monitoring:

 * Amazon CloudWatch: Expert-level proficiency in CloudWatch Metrics V2 (high-resolution metrics, metric math, anomaly detection), CloudWatch Logs (Logs Insights queries, subscription filters, metric filters), CloudWatch Alarms (composite alarms, alarm actions), and CloudWatch Dashboards (cross-account/cross-region dashboards, custom widgets)
 * AWS X-Ray: Distributed tracing architecture, service maps, trace analysis, sampling rules, X-Ray SDK integration, and X-Ray daemon configuration
 * AWS Distro for OpenTelemetry (ADOT): ADOT Collector deployment (ECS/EKS/EC2), OpenTelemetry SDK instrumentation, exporters configuration (CloudWatch, X-Ray, Prometheus), and custom metric pipelines
 * AWS AppSignals: Service-level objective (SLO) configuration, automatic instrumentation, anomaly detection, and application health scoring
 * Amazon Managed Service for Prometheus (AMP): Prometheus-compatible metrics collection, PromQL queries, and Grafana integration (if hybrid monitoring required)
 * Amazon Managed Grafana (AMG): Dashboard creation, data source integration (CloudWatch, AMP, X-Ray), and role-based access control


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