Associate, Systems Engineering: Cloud, Automation & Data

Goldman Sachs Bank AG; Draper (UT); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health insurance

On-site health centers

Fitness reimbursement

Child care facilities

Job summary

Goldman Sachs Services LLC in Draper, Utah seeks an Associate, Systems Engineering to help design and optimize the firm’s computer and data infrastructure. You will work across datacenter design, networks, storage, compute, OS, databases, and software languages to enable on-demand scaling of applications.

The role emphasizes automation, testing, ML-driven failure analysis, and proactive health monitoring to improve stability and performance. Significant emphasis on SDLC and cloud-based solutions.

Qualifications

• Master’s degree or Bachelor’s with required years of experience as stated in the ad.
• Experience with Java, code debugging or log analysis; public cloud experience (AWS/GCP).
• Software development using UNIX, Shell scripting, or Python and SDLC understanding.

Responsibilities

• Develop expertise across engineering domains including datacenter design and networks.
• Identify and implement cloud-based solutions for scalable applications.
• Automate testing, monitor performance, and analyze system health.
• Perform data mining and ML techniques to detect issues in infrastructure.

Skills

Java

Python

UNIX

Shell scripting

SQL performance

MongoDB

AWS

GCP

(log) analysis

Education

Master’s degree in Computer Science/Engineering/IT

Bachelor’s degree in Computer Science/Engineering/IT

Tools

UNIX tools

Cloud platforms

Job description

Goldman Sachs Services LLC in Draper, Utah seeks an Associate, Systems Engineering to help design and optimize the firm’s computer and data infrastructure. You will work across datacenter design, networks, storage, compute, OS, databases, and software languages to enable on-demand scaling of applications.

The role emphasizes automation, testing, ML-driven failure analysis, and proactive health monitoring to improve stability and performance. Significant emphasis on SDLC and cloud-based solutions.