Engineering- Salt Lake City - Associate, Systems Engineering - 10442648

The Goldman Sachs Group; Salt Lake City (UT); On-site; USD 110,000 - 140,000; Full time

Job summary

The Goldman Sachs Group, Inc. is seeking an Associate, Systems Engineering in Salt Lake City, Utah, to help design and enhance the firm’s Listed Clearing software and data infrastructure.

You will implement on-demand cloud solutions and monitor performance across storage, OS, databases, and messaging. You will apply data interrogation, AI and machine learning techniques to identify issues, optimize systems, and ensure resilient production environments through change management and incident

Qualifications

• Bachelor's or Master’s in Computer Science, Computer Engineering, Information Systems/Technology, or related field with 3 years (or 1 year with Master’s) of related experience.
• Experience includes SQL performance tuning and troubleshooting by analyzing query execution plans, Java debugging, or log analysis.
• Experience with UNIX OS, shell scripting, or OO languages like Java; production systems using DB2 or Sybase ASE; and messaging technologies like MQ/EMS.

Responsibilities

• Develop expertise across engineering domains: storage, OS, databases, messaging, market data, and interfaces.
• Contribute to design and development of Listed Clearing software and data infra, implementing cloud-based on-demand scaling.
• Apply data interrogation, Generative AI, and ML to identify and react to problems in infrastructure and platforms.
• Create Skills for AI agents to enable automated resolution of repetitive issues.
• Develop monitoring and observability to track health and service performance.

Skills

Java

Shell scripting

UNIX

SDLC

Log analysis

Performance tuning

Education

Bachelor's degree in CS/CE/IS/Tech

Master's degree in CS/CE/IS/Tech

Tools

DB2

Sybase ASE

MQ

EMS

GitHub

Job description

Job Duties

• Associate, Systems Engineering with Goldman Sachs Services LLC in Salt Lake City, Utah.
• Develop expertise across all Engineering, including storage, operating systems, databases, messaging, market data, exchange/clearing interface, and software languages.
• Contribute to design and development of the firm's Listed Clearing software and data infrastructure by identifying internal hardware and implementing and supporting public and private cloud-based solutions to provide on-demand scaling of the firm's applications.
• Apply data interrogation and analysis, Generative AI, and machine learning techniques to identify and react to problems in the firm's infrastructure and platforms.
• Identify, analyze, and resolve application issues by creating "Skills" which can be used by AI agents for repetitive error resolutions and minimizing operational errors.
• Develop Monitoring and Observability solutions to track and manage application health and support application service performance by identifying bottlenecks in the systems.
• Monitor, mitigate, and prevent risk in the production environment by enforcing change management processes.
• 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 of application and database code.
• Improve exchange and clearing house processing throughput for Listed Derivatives flow to meet exponential business demands.
• Plan and build Disaster recovery capabilities in enterprise applications.

Job Requirements

• 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 OR 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.
• Prior work experience must include three (3) years with Bachelor's OR one (1) year with Master's with the following: performance tuning and troubleshooting application and database issues utilizing SQL performance tuning and diagnosing potential performance issues by analyzing query execution plans, java code debugging, or log analysis; software development using UNIX operating system, Shell scripting, or Object-Oriented (OO) languages like Java; supporting production systems utilizing Database technologies including DB2 or Sybase ASE, and messaging technologies including MQ, EMS, or Object-Oriented (OO) languages like Java; working with the full Software Development Life Cycle (SDLC) including requirements gathering, design, prioritization, coding testing, release, and support using tools like Github; and executing periodic disaster recovery testing to ensure business continuity.

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.