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# Specialist Systems Engineering

- **Company:** Charles Schwab Corporation
- **Location:** Southlake, TX, United States
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Systems Engineering, Automation of Tests, Microsoft Azure, Bash Shell, Software as a Service, Cloud Computing, Code Review, Information Systems, Computer Engineering, Continuous Delivery, Continuous Integration, Linux, Domain Name System (DNS), Monitoring of Systems, JSON, Python (Programming Language), Reliability Engineering, Ansible, Prometheus, Shell Script, YAML, Google Cloud, Computer Network Operations, Grafana, Git, Kubernetes, Information Technology, Apache Kafka, Data Management, Restful APIs, Terraform, Splunk, Appdynamics
- **Published:** November 12, 2026
- **Apply:** https://www.careerbuilder.com/job-details/specialist-systems-engineering-southlake-tx--75b33e04-de73-42b1-b9ae-66502ddcd75b

## About the Role

Systems Engineering, Problem Solving Skills, Finance, Cloud Computing, Software as a Service (SaaS), Network Operations Center, Telemetry, Automation, Identify Issues, Ansible, * Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related field, or equivalent practical experience.

 * 1+ years of relevant technical experience supporting systems, infrastructure, applications, platforms, or monitoring tools.
 * Foundational knowledge of metrics, logs, events, dashboards, alerting, and service health.
 * Exposure to an observability platform such as Splunk, Grafana, Prometheus, ITRS Geneos, AppDynamics, ThousandEyes, Moogsoft, or xMatters.
 * Basic experience writing or modifying Python and shell scripts, such as Bash.
 * Foundational Linux or Windows administration and troubleshooting experience, including basic knowledge of networking, DNS, certificates, and access controls.
 * Familiarity with Git, code review, continuous integration and continuous delivery, automated testing, or configuration as code.
 * Demonstrated problem-solving, documentation, communication, collaboration, and adaptability skills, including the ability to follow procedures, organize work, seek guidance, and escalate appropriately.
 * Ability to validate outputs from approved artificial intelligence tools while following security, privacy, and data-handling controls.
 * Ability to support scheduled production activities, including after-hours support when required.

Preferred Qualifications

 * Experience deploying or supporting agents, collectors, forwarders, or telemetry gateways.
 * Familiarity with OpenTelemetry or vendor-neutral standards such as OpenTelemetry Protocol.
 * Experience with Splunk Enterprise, Splunk Cloud, Grafana, Alloy, Prometheus, Loki, Tempo, or Mimir.
 * Exposure to Google Cloud Platform, Amazon Web Services, Microsoft Azure, Kubernetes, containers, or Kafka.
 * Familiarity with Ansible, Terraform, Helm, REST APIs, JSON, or YAML.
 * Understanding of telemetry governance or Information Technology Infrastructure Library-aligned incident, change, and knowledge practices.
 * Experience in a regulated or financial-services environment.
 * Relevant certifications in observability platforms, Google Cloud Platform, Amazon Web Services, Microsoft Azure, Kubernetes, Linux, automation, or Site Reliability Engineering.

## Description

In this role, you will support enterprise platforms that collect and analyze metrics, logs, traces, and events. Your problem-solving and decision-making will help improve platform availability, telemetry quality, actionable alerting, and service-health insights. Working with engineering, application, infrastructure, cybersecurity, and operations partners, you will troubleshoot issues, support telemetry integrations, and contribute to reliable production changes. You will also apply and expand your automation skills using Python, Ansible, and shell scripting to simplify repeatable work, strengthen operational controls, and improve platform support over time.