Sr Specialist - Systems Engineering

Charles Schwab Inc.•Austin, TX

3d•$50 - $57•Onsite

About The Position

Schwab Technology Services enables clients to manage their money through innovative, reliable technology products and services. This role supports enterprise observability capabilities that help teams understand the health, performance, and reliability of critical technology across data center and Cloud/SaaS environments. The Sr Specialist will engineer and support observability platforms that collect and analyze metrics, logs, traces, and events. The role improves telemetry integrations, platform reliability, data quality, and service-health insights. It uses Python, Ansible, shell scripting, APIs, and modern delivery practices to automate repeatable operational work and deliver scalable, supportable solutions. The position involves troubleshooting complex issues, managing platform changes, and improving operational resilience. The successful candidate collaborates across application, infrastructure, cybersecurity, and operations teams, adapts to changing priorities, and drives issues and improvements through resolution. The selected candidate is expected to work on site in the specified location(s). The role is also 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 3 years of relevant experience in systems, platform, software, infrastructure, site reliability, or production engineering.
Foundational knowledge of observability concepts, including metrics, logs, events, dashboards, alerting, and service health.
Experience supporting enterprise observability platforms such as Splunk, Grafana, Prometheus, ITRS Geneos, AppDynamics, ThousandEyes, Moogsoft, or xMatters.
Hands-on experience with Python, Ansible, and shell scripting such as Bash for system management and automation, including REST APIs and JSON or YAML.
Foundational Linux or Windows administration and troubleshooting experience, with knowledge of networking, DNS, certificates, and identity or access controls.
Experience with Git, code review, CI/CD, automated testing, and configuration or infrastructure as code.
Experience using approved AI tools and validating outputs for accuracy, security, privacy, and data-handling requirements.
Strong technical troubleshooting, problem-solving, documentation, communication, and collaboration skills.
Ability to prioritize work, exercise sound judgment, and escalate appropriately.

Nice To Haves

Experience deploying and managing telemetry agents, collectors, forwarders, or gateways, including OpenTelemetry or OTLP.
Experience with Splunk Enterprise or Splunk Cloud, or Grafana technologies including Alloy, Prometheus, Loki, Tempo, or Mimir.
Experience with GCP, AWS, or Microsoft Azure and cloud-native technologies such as Kubernetes and containers.
Experience with Kafka or comparable event-streaming technologies.
Familiarity with Terraform, Helm, or similar infrastructure automation and delivery technologies.
Understanding of telemetry governance and ITIL-aligned incident, problem, change, or knowledge-management practices.
Experience working within a regulated enterprise or financial-services environment.
Relevant certifications in observability platforms, GCP, AWS, Microsoft Azure, Kubernetes, Linux, automation, or Site Reliability Engineering.

Responsibilities

Engineer and support enterprise observability platforms that collect and analyze metrics, logs, traces, and events.
Improve telemetry integrations, platform reliability, data quality, and service-health insights.
Automate repeatable operational work using Python, Ansible, shell scripting, APIs, and modern delivery practices.
Troubleshoot complex issues, manage platform changes, and improve operational resilience.
Collaborate with application, infrastructure, cybersecurity, and operations teams.
Drive issues and improvements through resolution while adapting to evolving priorities.