Systems Engineering Associate: Cloud & Automation

Goldman Sachs

Dallas (TX)

On-site

USD 110,000 - 140,000

Full time

8 days ago

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Job summary

Goldman Sachs Services LLC in Dallas, Texas invites applications for an Associate, Systems Engineering. You will develop expertise across networks, storage, OS, databases and software languages to support the firm’s computing infrastructure.

Responsibilities include designing cloud-based solutions for scalable applications, building automated tests, monitoring performance and health, and contributing to disaster recovery planning and incident response through data analysis and automation.

Qualifications

  • Master’s degree in CS/EE/IS/Tech or related field with 1 year experience in Systems Engineering.
  • Bachelor’s degree in CS/EE/IS/Tech with 3 years of experience in Systems Engineering.
  • Experience with Oracle, log analysis, and debugging; UNIX, Shell scripting, Python.

Responsibilities

  • Develop expertise across networks, storage, OS, databases, and software languages.
  • Identify cloud-based solutions for scalable on-demand apps.
  • Create automated testing processes and tools.
  • Monitor application health and performance and generate reports.
  • Assist in risk monitoring, incident review, and change management.

Skills

Performance tuning
Troubleshooting
Shell scripting
Python
Log analysis
SQL performance tuning
SDLC

Education

Master’s degree in Computer Science / Electrical & Computer Engineering / Information Systems/Technology
Bachelor’s degree in Computer Science / Electrical & Computer Engineering / Information Systems/Technology

Tools

Oracle
DB2
Microsoft Configuration Manager

Job description

Goldman Sachs Services LLC in Dallas, Texas invites applications for an Associate, Systems Engineering. You will develop expertise across networks, storage, OS, databases and software languages to support the firm’s computing infrastructure.

Responsibilities include designing cloud-based solutions for scalable applications, building automated tests, monitoring performance and health, and contributing to disaster recovery planning and incident response through data analysis and automation.

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