Opis oferty:

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.

GS Dashboards is a no-code dashboard builder used firmwide to securely connect to internal data sources and visualize insights at scale. Over the past 5 years, teams have created hundreds of dashboards across more than 60 projects, with 8,000+ monthly active users across divisions. The platform accelerates time-to-insight, standardizes visualization best practices, and reduces bespoke engineering through self-service analytics with enterprise governance.

Wymagania:

• Bachelor's degree or higher in a quantitative subject such as Computer Science, Mathematics, Statistics, Engineering, or a related field.
• 3+ years professional experience with modern programming languages (preferably TypeScript).
• Proficiency in integrating UIs with REST services; familiarity with Node.js for backend services.
• Familiarity with Next.js and modern frontend performance optimization.
• Experience writing unit and integration tests and using CI/CD pipelines for automated deployments.
• Familiarity with relational databases (e.g., SQL Server, DB2, Sybase) and distributed NoSQL stores (e.g., MongoDB, Elasticsearch).
• A proactive and innovative mindset, with a passion for staying at the forefront of AI and GenAI advancements and applying them to solve business challenges.
• Strong analytical and problem-solving skills, with the ability to translate complex business requirements into effective AI solutions.
• Excellent collaboration and communication skills, with the ability to work effectively with both technical and non-technical stakeholders.

Dodatki i korzyści:

• Experience with AI, GenAI or machine learning.
• Prior experience in the financial industry.