Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
Job Duties:
Vice President, Software Engineering with Goldman Sachs & Co. LLC in New York, New York. Develop, enhance, support, and maintain the Firm's software solutions in support of its global businesses. Design and implement high-quality, scalable, and thoughtful technology solutions leveraging both internal and open-source services. Assist in requirements gathering, user story refinement, development, testing (unit, integration, and regression), User Acceptance Testing (UAT) and deployment. Work with internal teams to develop solution designs. Identify new external technologies that can be used to transform our financial businesses and internal platforms in innovative and disruptive ways. Work in all phases of the Software Development Lifecycle (SDLC) to meet internal and regulatory requirements. Design, implement and maintain robust testing suites to enable safe, complete, and scalable solutions across our business lines. Working with large data platforms for Compliance data handling.
Job Requirements:
Master's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering, Information Systems or a related field and three (3) years of experience in job offered or a related software engineering role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering, Information Systems or a related field and five (5) years of experience in job offered or a related software engineering role. Prior experience must include three (3) years with Master's OR five (5) years with Bachelor's with the following: full software development lifecycle, including requirements gathering, design, coding, testing, documentation, deployment, and production support; working with Java enterprise applications within Unix environment; programming knowledge with big data technology including Java, HDFS, Scala, Spark, or MapReduce; relational database management system (RDBMS) such as Sybase or Oracle; micro-services architecture design and development including REST, Java, Spring, or other back-end technologies; and database query languages, including SQL or NoSQL technologies such as MongoDB.