Systems Engineering Associate: Build resilient cloud & data infra

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

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.