Site Reliability Engineer

Charles Schwab Inc.•Southlake, TX
•$90,000 - $110,000•Onsite

About The Position

The Client Trading Experience Technology team ensures the reliability, scalability, and operational excellence of critical trading platforms that support clients around the clock. The Site Reliability Engineer partners with application engineering, architecture, platform, cybersecurity, and support teams to improve service resiliency, observability, automation, and cloud adoption for business-critical systems. The work influences platform stability, incident response effectiveness, deployment reliability, and the overall client experience. The role applies engineering principles to solve complex operational challenges, builds automated and reusable cloud solutions, and strengthens production readiness across distributed environments. It advances reliability practices through infrastructure as code, monitoring, CI/CD automation, and AI-assisted operational capabilities, while contributing to continuous improvement, innovation, and engineering excellence. 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

  • 4+ years of experience in Site Reliability Engineering, DevOps, Infrastructure Engineering, Cloud Operations, or a related technical discipline.
  • Hands-on experience supporting and troubleshooting production applications in public cloud or large-scale enterprise environments.
  • Experience with Infrastructure as Code and cloud infrastructure automation.
  • Experience using GitHub or similar platforms for source control, code review, and CI/CD automation.
  • Experience with monitoring, observability, incident response, production recovery, and operational readiness.
  • Experience building dashboards, alerts, and monitoring solutions using Grafana or comparable observability platforms.
  • Experience developing automation using Python, Go, Java, Bash, PowerShell, or similar technologies.
  • Experience using AI-assisted engineering tools with appropriate validation, governance, and human oversight.
  • Working knowledge of SRE practices including service-level objectives, post-incident improvement, runbooks, and toil reduction.
  • Strong collaboration, communication, problem-solving, and operational decision-making skills.

Nice To Haves

  • Hands-on experience with Google Cloud Platform, including Cloud Run and Google Compute Engine.
  • Experience creating reusable Infrastructure as Code components and integrating infrastructure changes with deployment workflows.
  • Experience supporting cloud-native, Linux-based, or enterprise platform environments.
  • Experience with Grafana administration, Prometheus-compatible monitoring, OpenTelemetry, log aggregation, and alerting technologies.
  • Experience with GitHub Actions, security scanning, policy controls, and software supply-chain practices.
  • Familiarity with containerization and Kubernetes concepts.
  • Experience implementing or supporting AIOps capabilities that improve operational efficiency and service reliability.
  • Experience modernizing enterprise applications and supporting highly available, resilient cloud environments.

Responsibilities

  • Improve the resiliency, observability, automation, and cloud adoption of business-critical trading systems in partnership with engineering, architecture, platform, cybersecurity, and support teams.
  • Support and troubleshoot production applications in public cloud or large-scale enterprise environments.
  • Build automated and reusable cloud solutions and strengthen production readiness across distributed environments.
  • Contribute to monitoring, incident response, production recovery, and operational readiness.
  • Build dashboards, alerts, and monitoring solutions using Grafana or comparable observability platforms.
  • Develop automation using Python, Go, Java, Bash, PowerShell, or similar technologies.
  • Use AI-assisted engineering tools with appropriate validation, governance, and human oversight.
  • Apply SRE practices including service-level objectives, post-incident improvement, runbooks, and toil reduction.

Benefits

  • Bonus or incentive opportunities
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