Specialist - Systems Engineering

Charles Schwab Inc.•Austin, TX

1d•$87,000 - $101,000•Onsite

About The Position

At Schwab, this role is part of Schwab Technology Services and the I&O Operations Observability Engineering team, which strengthens the visibility and operational health of critical technology services across data center, cloud, and software-as-a-service environments. The Specialist supports enterprise platforms that collect and analyze metrics, logs, traces, and events. The role helps improve platform availability, telemetry quality, actionable alerting, and service-health insights. It works with engineering, application, infrastructure, cybersecurity, and operations partners to troubleshoot issues, support telemetry integrations, and contribute to reliable production changes. The Specialist also applies and expands automation skills using Python, Ansible, and shell scripting to simplify repeatable work, strengthen operational controls, and improve platform support. The selected candidate is expected to work on site in the specified location(s). The position is eligible for bonus or incentive opportunities in addition to the salary range.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related field, or equivalent practical experience.
At least 1 year 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.
Problem-solving, documentation, communication, collaboration, and adaptability skills, including the ability to follow procedures, organize work, seek guidance, and escalate appropriately.
Ability to support scheduled production activities, including after-hours support when required.
Ability to validate approved artificial intelligence tool outputs while following security, privacy, and data-handling controls.

Nice To Haves

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.

Responsibilities

Support enterprise platforms that collect and analyze metrics, logs, traces, and events.
Help improve platform availability, telemetry quality, actionable alerting, and service-health insights.
Troubleshoot issues with engineering, application, infrastructure, cybersecurity, and operations partners.
Support telemetry integrations and contribute to reliable production changes.
Use and develop automation with Python, Ansible, and shell scripting to simplify repeatable work and strengthen operational controls.
Support scheduled production activities, including after-hours support when required.
Validate outputs from approved artificial intelligence tools while following security, privacy, and data-handling controls.