Engineering Division- Draper - Associate, Systems Engineering - 10424181

Experteer Overview In this role you will help design and optimize Goldman Sachs’ data and computer infrastructure. You will work across engineering domains to enable on-demand scaling of applications via public and private clouds. You’ll contribute to automated testing, data mining, and machine learning initiatives to detect and address infrastructure issues. You will monitor application health, manage risk in production, and drive stability through automation and performance tuning. This is an opportunity to shape resilient, scalable systems within a leading financial services firm. Compensation / Benefits * Develop expertise across engineering domains (datacenter design, networks, storage, grid compute, OS, databases, communications, market data, software languages) * Design and develop cloud-based solutions for scalable applications * Assist in creating automated testing processes, standards, and tools * Apply data mining and machine learning to detect and respond to infrastructure issues * Identify, analyze, and resolve application issues; document repetitive error resolutions * Develop and monitor reports to track application health and performance * Monitor production risk and change management processes * Improve stability and performance through automation and ML, and optimize database queries * Develop sustainable systems through automation and performance tuning Tasks * Master’s degree in Computer Science, Computer Engineering, Information Systems, Information Technology, or related field with 1 year of experience OR Bachelor’s degree with 3 years of experience * Experience with performance tuning and troubleshooting application issues using Java, debugging, or log analysis * Application troubleshooting for cloud-based environments (AWS, GCP or similar) * Software development using UNIX, Shell scripting, or Python * Designing and supporting databases (MongoDB or similar) * Experience with SDLC and requirements gathering, design, coding, testing, release, and support * SQL performance tuning and diagnosing performance issues via query execution plans and disaster recovery Key requirements *

issues * Identify, analyze, and resolve application issues; document repetitive error resolutions * Develop and monitor reports to track application health and performance * Monitor production risk and change management processes * Improve stability and performance through automation and ML, and optimize database queries * Develop sustainable systems through automation and performance tuning Tasks * Master’s degree in Computer Science, Computer Engineering, Information Systems, Information Technology, or related field with 1 year of experience OR Bachelor’s degree with 3 years of experience * Experience with performance tuning and troubleshooting application issues using Java, debugging, or log analysis * Application troubleshooting for cloud-based environments (AWS, GCP or similar) * Software development using UNIX, Shell scripting, or Python * Designing and supporting databases (MongoDB or similar) * Experience with SDLC and requirements gathering, design, coding, testing, release, aI _ support * SQL performance tuning and diagnosing performance issues via query execution plans and disaster recovery Key requirements *