About the position
At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Transaction Banking (TxB) aims to bring innovative solutions to traditional banking and lending activities. We are a global team of lenders, investors, risk managers, skilled marketers, web experts and banking specialists. We provide a suite of solutions to help our customers meet their financial goals. We make direct investments in and manage risk for a portfolio of corporate loans and securities. We help transform distressed communities through investments and loans of private capital. Within TxB, Data & Analytics Platform is a global engineering team with pods across New York, London, Bengaluru, and Dallas. We are responsible for detailed technical design and development of data-intensive capabilities using existing and emerging technologies.
Responsibilities
- Develop full stack applications with due consideration to security, design, validation and SDLC framework
- Collaborate with product managers, business operations, engineers to define product requirements, objectives
- Participate in system design consulting, platform management
- Develop resilient, scalable and secure modules using cloud native services
- Manage multiple tasks and use sound judgment when prioritizing
- Update and maintain documentation for team processes, best practices and software runbooks
Requirements
- Prior professional experience using a modern programming language (preferably Java)
- Bachelor's or master's degree in Computer Science or related technical field
- Proficiency with algorithms, data structures, and software design
Nice-to-haves
- Experience with SQL and NoSQL databases
- Experience in financial services
- Experience with AWS
- Experience with development and design of distributed systems
- Comfort with Agile operating model
- Experience with UNIX operating systems, infrastructure as code, and networking
