Night Shift: starting at either 8:30pmEST or 4:30amEST, with either Sunday-Thursday or Tuesday-Saturday schedule (to accommodate for 24x7 support) Schedules are created on a monthly basis and cannot guarantee the same shift each month.
Remote anywhere in US; plus if candidates local to Salt Lake City or Dallas
Contract Length: December 2021 (longer if great performance)
WHO WE ARE:
Goldman Sachs is leading global investment banking, securities and investment management firm that provides a wide range of services worldwide to a substantial and diversified client base that includes corporations, financial institutions, governments and high net-worth individuals. Founded in 1869, it is one of the oldest and largest investment banking firms. The firm is headquartered in New York and maintains offices in London, Bangalore, Frankfurt, Tokyo, Hong Kong and other major financial centers around the world.
MUST HAVE SKILLS
•Must be flexible on night shift hours starting at either 8:30pmEST or 4:30amEST, with either Sunday-Thursday or Tuesday-Saturday schedule (to accommodate for 24x7 support)
•One of the following programming languages: Java, C, C++, VB, .NET, ASP or Angular etc.
•One of the following RDBMS environments: Sybase ASE/IQ, Oracle or DB2
•Enterprise level software development experience
•Problem solving in a development or production environment, including: experience observing patterns, analyzing root cause and suggesting ideas to resolve issues
•Good communication skills with ability to articulate the technical and functional aspects of a development/production problem (to help drive solutions with App Dev teams and senior stakeholders)
•Experience in the Financial Service Industry (HUGE PLUS if worked for an enterprise bank)
•Experience in Cluster Computing and Big Data solutions: Spark, Hadoop, HDSF, XRS using public cloud
•Degree in Computer Science
AppBank Operations is a 24x7, two city model unified production management team supporting the business application of the firm using cutting-edge systems and processes that form the core of our key business, sharing best practices while providing a critical mass to help drive transformation. The team also adopts various tools developed by AppBank Engineering team to automate failures using machine learning techniques, notify discrepancies in the health of production and automation of health-restoration, with a focus on continuous measurement of risk and cost. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field.
Analyst in AppBank, the Technology Division's "Run-The-Bank" production management organization in Goldman Sachs. Specialist role in the production management function for over 3,500 business applications that support the Firm's various business functions. Within the Production Support team, there are 32 various sub-teams that support different business units within Goldman Sachs.
•Work actively with team members to analyze and resolve application issues
•Identify defects, discrepancies, and trends by ways of code debugging or log analysis
•Manage incidents and effectively communicate with users, application owners and senior stakeholders across all areas
•Improve application stability and performance by observing patterns, recurring failures and/or issues, and advise application owners on permanent fixes accordingly
•Adopt various tools developed by AppBank Engineering team to automate failures using machine learning techniques and notify discrepancies in the health of production and automation of health-restoration, with a focus on continuous measurement of risk and cost.
•Identify alerts / processes that can be automated and then work with AppBank Engineering team in automating them
•Challenge existing application setup, processing and suggest different ways to solve problem or improve stability
•Actively participate in Change management process with view to manage risk in production environment
•Build and improve run books for generalists to minimize operational errors and gain fungibility/efficiency
•Develop reports that provide trending statistics to track and manage application health and support service performance
•Willing to learn and troubleshoot/support proprietary technologies not available through market place. No knowledge of proprietary technologies is required pre-hire