<p>Kforce has a client in Greenwood Village, CO that is seeking an Observability Engineer with hands-on experience building dashboards, alerts, and automated monitoring for cloud-based infrastructure. This role focuses on expanding observability for large-scale WiFi network systems running on AWS. The Observability Engineer will work across tools like Splunk Enterprise, Datadog, and Grafana to improve visibility, performance, and reliability for a platform serving millions of users.</p> <p>Responsibilities:</p> <ul> <li>Design and implement dashboards, alerts, and visualizations across AWS cloud services </li><li>Build monitoring solutions for enterprise WiFi network infrastructure at scale </li><li>Develop APM, NPM, and SNMP-based monitoring to improve service insight and incident response </li><li>Automate log aggregation, JVM performance tracking, and telemetry pipelines </li><li>Partner with development and platform teams to embed observability into new and existing services </li><li>Write Python and Bash scripts to automate monitoring workflows and repeatable tasks </li><li>Manage monitoring configurations, code, and infrastructure using Git version control* 3-5 years of experience in observability, site reliability engineering, or infrastructure monitoring </li><li>Strong hands-on experience with Splunk Enterprise, Datadog, and Grafana </li><li>Solid understanding of AWS services, metrics, logging, and cloud-native monitoring patterns </li><li>Familiarity with WiFi network concepts, telemetry, or large-scale distributed systems </li><li>Experience working with APM, NPM, and SNMP monitoring approaches </li><li>Proficiency in Python and Bash for automation and tooling </li><li>Experience with Git for version control and collaborative development </li><li>Ability to work cross-functionally with engineers and support teams to refine monitoring requirements </li></ul> <p>Preferred Skills:</p> <ul> <li>Knowledge of JVM-based systems and application performance tuning </li><li>Understanding of event-driven architectures or log-pipeline design </li><li>Experience with infrastructure-as-code or automated deployment pipelines </li></ul>