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Security Logging and Monitoring Engineer

Job in Round Rock, Williamson County, Texas, 78682, USA
Listing for: Apex Systems
Full Time position
Listed on 2026-11-04
Job specializations:
  • IT/Tech
    Unix/Linux, IT Infrastructure, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 60 - 70 USD Hourly USD 60.00 70.00 HOUR
Job Description & How to Apply Below
# Security Logging and Monitoring Engineer Apply
** Job#: 3055583
***
* Job Description:

** Logging & Monitoring Engineer
** Position Overview
** We are seeking a
** Logging & Monitoring Engineer
** to support the day-to-day operation, reliability, and continued evolution of enterprise logging and telemetry platforms.

This is a hands-on, execution-focused role supporting
** Cribl, Elastic, and Corelight
** environments. The engineer will help onboard new data sources, maintain healthy telemetry pipelines, troubleshoot ingestion and data-quality issues, and ensure reliable delivery of security and operational data across a large enterprise environment.

The ideal candidate has
** 3–5 years of experience
** supporting enterprise logging, monitoring, or security telemetry platforms and is comfortable working across logging pipelines, infrastructure, operating systems, and automation.
** Key Responsibilities
*** Configure, operate, and monitor enterprise log and telemetry pipelines using
** Cribl**, including data routing, filtering, and transformations.
* Support
** Elastic
* * environments by onboarding new log sources, validating data quality, troubleshooting ingestion issues, and performing routine platform maintenance.
* Assist with the deployment, operation, and monitoring of
** Corelight
* * sensors to support reliable network telemetry ingestion.
* Troubleshoot end-to-end logging and data-pipeline issues involving
** data flow, parsing, transport, ingestion, and data quality**.
* Perform routine operational activities, including platform upgrades, configuration changes, capacity monitoring, and documentation updates.
* Partner with
** Security Operations, Infrastructure, and Application teams
** to support log-onboarding requests and resolve telemetry or data gaps.
* Monitor platform health and address issues related to
** throughput, latency, data availability, and pipeline performance**.
* Follow established change-management procedures, operational standards, and escalation processes.
* Maintain and improve operational documentation, procedures, and runbooks to support consistent platform operations.
* Collaborate with senior engineers and technical teams to improve the reliability and effectiveness of enterprise detection and monitoring capabilities.

Required Qualifications
* ** 3–5 years of hands-on experience
** supporting enterprise logging, monitoring, observability, or security telemetry platforms.
* Hands-on experience with
** Cribl**, including log routing, pipeline configuration, filtering, transformations, and troubleshooting.
* Experience supporting
** Elastic / Elasticsearch
** environments, including log-source onboarding, troubleshooting, and operational maintenance.
* Exposure to
** Corelight
* * or similar network telemetry / Network Detection and Response technologies.
* Strong
** Linux and Windows system administration
** fundamentals.
* Working knowledge of scripting and automation using technologies such as
** Python and/or Bash**.
* Experience supporting platforms within
** cloud, hybrid, or large-scale enterprise environments**.
* Understanding of monitoring and telemetry concepts, including
** data health, throughput, latency, ingestion, and alerting**.
* Strong troubleshooting skills with the ability to follow data through multiple stages of a logging or telemetry pipeline.
* Ability to work effectively across security, infrastructure, application, and engineering teams.
** Preferred Skills
*** Experience supporting enterprise
** Security Operations or detection engineering
** environments.
* Familiarity with security telemetry, log-management, SIEM, observability, or network monitoring technologies.
* Experience troubleshooting data parsing, transformation, and ingestion issues across…
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