Job Description

e&e is seeking an Observability and Monitoring Engineer for a hybrid contract opportunity in West Des Moines, IA!

The Observability and Monitoring Engineer is responsible for designing, building, and maturing enterprise-wide monitoring, logging, alerting, and observability capabilities across a cloud-based technology environment. This role defines the overall observability strategy, architecture, and implementation standards that enable proactive issue detection, faster troubleshooting, and data-driven operational insights across applications, infrastructure, operating systems, databases, file transfers, and batch processes. The ideal candidate brings strong hands-on engineering experience, architectural leadership, and the ability to integrate and rationalize multiple monitoring tools into a cohesive observability framework.

Responsibilities:

• Define and implement standards for logs, metrics, traces, event correlation, and alerting across multiple environments.
• Design and build centralized dashboards and alerting policies providing unified visibility across:
• Applications and services
• Operating systems
• Cloud services (e.g., compute, storage, databases, serverless, audit/logging services)
• Relational databases
• File transfer platforms and managed transfer tools
• Batch jobs and scheduled processes
• Develop actionable, noise-free alerting thresholds, escalation policies, and operational runbooks.
• Integrate and manage multiple monitoring and logging platforms into a cohesive observability ecosystem.
• Assess existing tools and recommend consolidation, optimization, or modernization where appropriate.
• Manage the lifecycle, configuration, tuning, and health of observability platforms.
• Automate monitoring deployments using Infrastructure as Code and CI/CD pipelines; create reusable templates and standards to enable rapid onboarding of new applications.
• Build self-service dashboards and reporting for both technical and business stakeholders.
• Define and maintain SLOs, SLIs, and reliability KPIs for critical services.
• Partner with application, infrastructure, and security teams to reduce MTTR and improve system reliability.
• Participate in incident response, root cause analysis, and problem management activities.
• Provide technical leadership and mentoring, advising teams on observability architecture and best practices.
• Develop and maintain system documentation and contribute to technical planning and strategy sessions.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience implementing monitoring and observability solutions, including extensive hands-on experience with Dynatrace.
• Experience working with monitoring and logging platforms such as Zabbix, Graylog, Splunk, SolarWinds, or comparable tools.
• 5+ years of hands-on experience with cloud platforms and services, with strong emphasis on AWS architectures.
• Deep understanding of observability concepts including metrics, logs, traces, distributed tracing, and event correlation.
• Proven experience building dashboards and KPIs across application, infrastructure, and database layers.
• Strong scripting and automation skills (Python, Bash, PowerShell).
• Experience with Infrastructure as Code tools such as Terraform and/or CloudFormation.
• Solid understanding of systems architecture, network monitoring, and performance tuning.
• Familiarity with ITIL incident and problem management processes.

Preferred Qualifications

• Experience using AI-enabled tools to enhance observability, alerting, and operational insights.
• Experience with containerized and microservices-based architectures.
• Hands-on experience with OpenTelemetry, Prometheus, Grafana, or similar observability frameworks.

Required Technical Skills

• Cloud Services: Compute, storage, databases, serverless, and container services
• Monitoring & Observability Tools: Dynatrace, CloudWatch, Zabbix, SolarWinds, Graylog, Splunk
• Configuration Management: Ansible, Puppet, Chef
• CI/CD Tools: Jenkins, QuickBuild, Bitbucket
• Scripting Languages: Python, PowerShell, Bash
• Databases: Microsoft SQL Server, PostgreSQL
• Infrastructure as Code: Terraform, CloudFormation
• Containers: Docker, Kubernetes

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