Engineering-New York-Associate, Systems Engineering-10427738

Goldman SachsNew York, NY
$156,000 - $192,000Onsite

About The Position

Develop expertise across all Engineering, including datacenter design, networks, storage, grid computing, 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 to ensure smooth operation of the firm’s businesses. 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. 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 and database queries. Assist with business continuity planning and disaster recovery and plan appropriate contingency plans.

Requirements

  • Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Information Systems/Technology, or related field
  • Three (3) years of experience in job offered or related role.
  • Three (3) years of experience with performance tuning and troubleshooting application issues utilizing Oracle, code debugging, or log analysis.
  • Three (3) years of experience with software development using UNIX operating system, Shell scripting, or Python.
  • Three (3) years of experience designing and supporting database systems utilizing technologies such as DB2 or Sybase ASE.
  • Three (3) years of experience working with the full Software Development Life Cycle (SDLC) including requirements gathering, design, prioritization, coding testing, release, and support.
  • Three (3) years of experience with SQL performance, tuning, and diagnosing potential performance issues by analyzing query execution plans and setting up disaster recovery.
  • Three (3) years of experience performing systems management for Windows platforms such as Microsoft Configuration Manager or comparable enterprise systems management products.

Responsibilities

  • Develop expertise across all Engineering, including datacenter design, networks, storage, grid computing, 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 to ensure smooth operation of the firm’s businesses.
  • 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.
  • 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 and database queries.
  • Assist with business continuity planning and disaster recovery and plan appropriate contingency plans.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service