Engineering Division- Draper- Associate, Systems Engineering- 10469780

Goldman Sachs Group, Inc.; Draper (UT); On-site; USD 90,000 - 130,000; Full time

Job summary

Goldman Sachs Services LLC in Draper, Utah seeks an Associate, Systems Engineering to help design and evolve the firm’s data infrastructure. You will contribute to datacenter design, networks, storage, and grid compute, and implement public and private cloud solutions for on-demand scaling of applications.

You will also help automate testing, monitor system performance, apply ML for failure prediction, and coordinate with users, owners, vendors, and stakeholders to ensure stable operations and

Qualifications

• Master’s degree (US or foreign equivalent) in Computer Science, Computer Engineering, Information Systems/Technology, or related field with 1 year of related experience OR Bachelor’s degree with 3 years of related experience.
• Experience with SDLC including requirements gathering, design, coding, testing, release and support; knowledge of performance tuning and troubleshooting.
• Experience with UNIX-based development and scripting (Shell, Python) and database technologies (DB2 or similar).

Responsibilities

• Develop expertise across engineering domains including datacenter design, networks, storage, and grid compute.
• Design and develop firm's computer and data infrastructure; implement cloud-based solutions for on-demand scaling.
• Create automated testing processes and monitoring tools to ensure reliable operation.
• Apply data mining and machine learning to detect issues and automate fault handling.
• Document recurring errors and support incident reviews with stakeholders; monitor production risk and change management.

Job description

Job Duties

Associate, Systems Engineering with Goldman Sachs Services LLC in Draper, Utah. Develop expertise across all Engineering, including datacenter design, networks, storage, grid compute, operating systems, databases, communications, market data and software languages. Contribute to the design and development of the firm’s computer and data infrastructure by identifying internal hardware and implementing public and private cloud-based solutions to provide seamless on-demand scaling of the firm's applications. Assist in the creation of automated testing processes, standards, solutions and tools to ensure smooth operation of the firm’s businesses. Apply data mining and machine learning techniques to identify and react to problems in the firm’s infrastructure and platforms. Identify, analyze, and resolve application issues by documenting repetitive error resolutions and minimizing operational errors. Assist in developing and monitoring reports to track and manage application health and support application service performance. Assist in monitoring risk in the production environment and change management processes. Help to improve application stability and performance by automating failures using machine learning techniques and analyzing discrepancies and trends. Review and assess production incidents and communicate with users, applications owners, vendors, and internal and external stakeholders. Develop sustainable systems and services through automation, performance tuning and database queries. Assist with business continuity planning and disaster recovery and plan appropriate contingency plans.

Job Requirements

Master’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Information Systems/Technology, or related field and one (1) year of experience in job offered or related role OR Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Information Systems/Technology, or related field and three (3) years of experience in job offered or related role. Prior employment must include one (1) year of experience (with a Master’s) OR three (3) years of experience (with a Bachelor’s) with: performance tuning and troubleshooting application issues utilizing Oracle, code debugging, or log analysis; software development using UNIX operating system, Shell scripting, or Python; designing and supporting database systems utilizing technologies such as DB2 or Sybase ASE; working with the full Software Development Life Cycle (SDLC) including requirements gathering, design, prioritization, coding testing, release, and support; SQL performance, tuning, and diagnosing potential performance issues by analyzing query execution plans and setting up disaster recovery; and performing systems management for Windows platforms such as Microsoft Configuration Manager or comparable enterprise systems management products.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.