Engineering Division- Draper - Associate, Systems Engineering - 10424181

Goldman Sachs; Draper (UT); On-site; USD 100,000 - 160,000; Full time

Job summary

Goldman Sachs is seeking an Associate in Systems Engineering in Draper, Utah. You will help design and optimize the firm’s data infrastructure, implement public and private cloud solutions, and automate testing and monitoring to ensure reliable, scalable services.

The role requires expertise across databases, operating systems, and software languages, with a strong focus on performance tuning, debugging, and SDLC practices.

Qualifications

• Master’s degree in Computer Science, Computer Engineering, Information Systems, Information Technology, or related field and one year of experience in job offered or related role OR Bachelor’s degree in related field and three years of experience.
• Experience with performance tuning and troubleshooting application issues; cloud-based applications (AWS, GCP or similar); software development using UNIX, Shell scripting, or Python; database systems such as MongoDB; SDLC including requirements, design, coding, testing, release and support; SQL performance tuning and diagnosing performance issues.

Responsibilities

• Develop expertise across Engineering domains including datacenter design, networks, storage, grid compute, operating systems and databases.
• Identify, analyze, and resolve application issues; document resolutions and minimize operational errors.
• Automate testing processes, improve monitoring and change management; monitor risk and ensure production stability.

Skills

Performance tuning

Troubleshooting

Log analysis

Code debugging

SDLC

Education

Master’s degree in Computer Science / Computer Engineering / Information Systems

Bachelor’s degree with 3 years of related experience

Tools

Java

Python

UNIX

Shell scripting

MongoDB

SQL

Job description

Job Description

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. 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. Develop sustainable systems and services through automation, performance tuning and database queries.

Job Requirements

Master’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Information Systems, Information 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, Information Technology, or related field and three (3) years of experience in job offered or related role. Prior work experience must include one (1) year with Master’s OR three (3) years with Bachelor’s with the following: performance tuning and troubleshooting application issues utilizing Java, code debugging, or log analysis; application troubleshooting for applications based on public cloud including AWS, GCP or any similar cloud offerings; software development using UNIX operating system, Shell scripting, or Python; designing and supporting database systems utilizing technologies such as MongoDB or similar databases; working with the full Software Development Life Cycle (SDLC) including requirements gathering, design, prioritization, coding testing, release, and support; and SQL performance, tuning, and diagnosing potential performance issues by analyzing query execution plans and setting up disaster recovery.

©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.