Specialist - Systems Engineering

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Schwab Technology Services enables the future of how clients manage their money by delivering innovative, reliable technology products and services. Within I&O Operations, the Observability Engineering team strengthens the visibility and operational health of critical technology services across data center, cloud, and software-as-a-service environments.

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.

• 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.

• 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.

In addition to the salary range, this role is eligible for bonus or incentive opportunities.