Sr Specialist - Systems Engineering

Charles Schwab Inc.; Austin (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Charles Schwab Corporation is seeking a Software Platform Engineer within Schwab Technology Services to enhance observability across data centers and cloud environments. The role focuses on building and supporting telemetry systems, improving data quality, and enabling reliable service health insights.

You will automate operational tasks with Python, Ansible, and Bash, integrate APIs, and work closely with application, infrastructure, cybersecurity, and operations teams to drive resilience and

Qualifications

• Foundational knowledge of observability concepts, including metrics, logs, dashboards, alerting, and service health.
• Proficiency with Python, Ansible, and shell scripting (Bash) for automation and system management.
• Experience with enterprise observability tools such as Splunk, Grafana, Prometheus, AppDynamics, and related platforms.
• Experience with git, CI/CD, automated testing, and IaC/infra as code.
• Strong troubleshooting, documentation, and collaboration skills.
• Knowledge of REST APIs and JSON/YAML.
• Experience with cloud or on-prem environments and container tech (Kubernetes).
• Familiarity with AI tools and validating outputs for security and privacy.

Responsibilities

• Engineer and support observability platforms across data center and cloud environments.
• Automate repeatable operational tasks using Python, Ansible, Bash, and APIs.
• Collaborate with application, infrastructure, cybersecurity, and operations teams to improve telemetry and system resilience.
• Participate in incident, change, and knowledge-management practices as appropriate.

Skills

Observability concepts

Python

Ansible

Bash

CI/CD

Git

Automation

Troubleshooting

Documentation

Communication

Education

Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related field

Tools

Splunk

Grafana

Prometheus

ITRS Geneos

AppDynamics

ThousandEyes

Moogsoft

xMatters

Kubernetes

Docker

OpenTelemetry

Job description

Your Opportunity

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 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.

You will engineer and support observability platforms that collect and analyze metrics, logs, traces, and events, while improving telemetry integrations, platform reliability, data quality, and service-health insights. Using Python, Ansible, shell scripting, APIs, and modern delivery practices, you will automate repeatable operational work and help deliver scalable, supportable solutions.

Success requires strong problem solving and sound decision making as you troubleshoot complex issues, manage platform changes, and improve operational resilience. You will collaborate across application, infrastructure, cybersecurity, and operations teams, adapting to evolving priorities while helping drive issues and improvements through resolution.

What you have

Required Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related field, or equivalent practical experience.
• 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 appropriately validating outputs for accuracy, security, privacy, and data-handling requirements.
• Strong technical troubleshooting, problem-solving, documentation, communication, and collaboration skills, with the ability to prioritize work, exercise sound judgment, and elevate appropriately.

Preferred Qualifications

• 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.

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