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Production Support Engineer

Job in Southlake, Tarrant County, Texas, 76092, USA
Listing for: Charles Schwab Corporation
Full Time position
Listed on 2026-05-29
Job specializations:
  • IT/Tech
    Cloud Computing, IT Support, Systems Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Your Opportunity

At Charles Schwab, you’ll do meaningful work that creates a positive impact for clients and colleagues alike. As part of the Wealth and Asset Management (WAM) Technology organization within Schwab Technology Services, this role supports critical middle- and back-office applications that enable Schwab Asset Management, Wealth & Advice Solutions, the Schwab Center for Financial Research, and Third-Party Platform teams.

In this business-facing role, you’ll partner closely with technology, business, and vendor teams to ensurestability, reliability, and continuous improvement of production applications. You’ll bring a problem-solving mindset, take ownership of issues end to end, and contribute to operational excellence across production support and change management.

What You’ll Do
  • Proactively monitor, detect, troubleshoot, and resolve issues impacting production applications.
  • Own and manage escalated incidents through resolution or workaround.
  • Communicate clearly with stakeholders during incidents.
  • Support production change and operational readiness standards.
  • Partner with development teams to ensure production readiness.
  • Maintain support documentation.
What you have

Required Qualifications

  • Bachelor’s degree in computer science or a related field, or equivalent experience
  • 5–7 years of experience in application production support
  • Experience supporting Windows and Linux environments
  • Knowledge of the asset management industry
  • Proficiency in SQL Server and Oracle

Preferred Qualifications

  • Experience with Informatica ETL and Informatica Intelligent Cloud Services
  • Familiarity with cloud platforms such as Azure, AWS, Google Cloud, and Snowflake
  • Experience with job scheduling tools such as Control‑M or Auto Sys
  • Experience with Snowflake and data virtualization platforms
  • Experience with monitoring tools such as Splunk, App Dynamics, Thousand Eyes, and Foglight
  • Exposure to Git Hub
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