Test Production Support Engineer

Bank of America

Phoenix (AZ)

Vor Ort

USD 95.000 - 130.000

Vollzeit

vor 37 Stunden
Sei unter den ersten Bewerbenden
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Zusammenfassung

Bank of America in the United States is seeking a Production Support Specialist for Enterprise Independent Testing. You will ensure the stability of the live test production environment, handle incidents, monitor health, and perform RCA to prevent repeats.

You will develop models and testing scripts, collaborate with process owners to map data, flows, and controls, identify risks, and design testing methods that align with laws and internal policies.

Qualifikationen

  • Bachelor’s degree in Finance, Economics, CS, Mathematics, or related field.
  • Experience with SAS programming and UNIX/Linux environments.
  • Experience supporting batch processes with Autosys or similar.
  • Ability to troubleshoot and debug production issues.
  • SQL experience preferred.
  • Understanding of test design, reporting, and lifecycle.

Aufgaben

  • Maintain stability of live test production environment and resolve incidents.
  • Monitor system health and perform root cause analysis to prevent repeats.
  • Develop testing scripts, analytical tools, and models to provide insights.
  • Collaborate with process owners to understand data flows, controls, and risks.
  • Communicate results to senior stakeholders, auditors, and regulators.
  • Support process improvements and adherence to laws, rules, and policies.

Kenntnisse

SAS programming
UNIX/Linux environments
SQL
Python
Java
Testing/QA

Ausbildung

Bachelor’s degree in Finance/Economics/CS/Math/Related field

Tools

Autosys

Jobbeschreibung

Bank of America in the United States is seeking a Production Support Specialist for Enterprise Independent Testing. You will ensure the stability of the live test production environment, handle incidents, monitor health, and perform RCA to prevent repeats.

You will develop models and testing scripts, collaborate with process owners to map data, flows, and controls, identify risks, and design testing methods that align with laws and internal policies.

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