Engineering Division- Draper - Associate, Systems Engineering - 10424181

The Goldman Sachs Group; Draper (UT); On-site; USD 110,000 - 160,000; Full time

Job summary

The Goldman Sachs Group is seeking an Associate, Systems Engineering in Draper, Utah to help design and optimize the firm’s computer and data infrastructure. You will work across datacenter design, networks, storage, and grid compute while implementing cloud-based solutions for on‑demand scaling.

You will also contribute to automated testing, ML-driven anomaly detection, and ongoing monitoring of application health and risk in production environments.

Qualifications

• Master's or Bachelor's degree in a relevant field with required experience.
• Experience with performance tuning and troubleshooting application issues using Java, Python, and UNIX.
• Experience with public cloud platforms (AWS, GCP) and SQL performance tuning.
• Experience with MongoDB or similar databases and SDLC processes.

Responsibilities

• Develop expertise across data center design, networks, storage, and grid compute.
• Identify internal hardware and implement cloud solutions for on‑demand scaling.
• Automate testing processes, standards, and tooling.
• Apply data mining and ML techniques to detect infrastructure issues and trends.
• Monitor application health, performance, and risk in production environments.
• Support SDLC activities from requirements through release and support.

Skills

Java

Python

Shell scripting

UNIX

MongoDB

SQL performance tuning

SDLC

Cloud troubleshooting

Code debugging

Log analysis

AWS/GCP

Education

Master's degree in Computer Science/Information Technology or related field

Bachelor's degree in Computer Science/Information Technology or related field

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. 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.