Engineering Division- Draper - Associate, Systems Engineering - 10424181

Socket.dev; Draper (UT); On-site; USD 110,000 - 160,000; Full time

Job summary

Goldman Sachs Services LLC seeks an Associate in Systems Engineering in Draper, UT. You will develop expertise across engineering areas, design datacenter and cloud solutions, and automate testing and monitoring to ensure scalable, reliable platforms.

The role emphasizes ML-driven anomaly detection, SDLC participation, and proactive performance tuning to support firm-wide infrastructure and applications.

Qualifications

• Master's degree in Computer Science, Computer Engineering, Information Systems or IT with 1 year experience or Bachelor's with 3 years in relevant roles.
• Experience with Java, log analysis, and troubleshooting across public cloud environments; SDLC involvement; SQL performance tuning and disaster recovery planning.

Responsibilities

• Develop expertise across engineering disciplines including datacenter design, networks, storage, and databases.
• Identify hardware needs and implement public/private cloud solutions for scalable applications.
• Create automated testing processes, standards, tools, and solutions.
• Apply data mining and machine learning to detect and react to infrastructure issues.
• Document error resolutions to minimize operational downtime and repeat incidents.
• Monitor application health and generate reports to support performance goals.
• Assist in risk monitoring and change management in production environments.
• Automate failures and improve stability through ML-driven analysis and tuning.
• Develop sustainable systems via automation and database queries.

Skills

Java

log analysis

Shell scripting

Python

SQL performance tuning

MongoDB

SDLC

Education

Master's degree in Computer Science/Engineering/Info Systems/IT

Bachelor's degree in Computer Science/Engineering/Info Systems/IT with 3 years experience

Tools

UNIX

Cloud platforms (AWS, GCP)

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.