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.
OUR IMPACT
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.
YOUR IMPACT
You’ll architect and refine frontend-heavy features in TypeScript/React (with Redux), while building and maintaining Node.js services on Kubernetes to ensure performance, security, and reliability at scale. You’ll turn common analytics needs into reusable visualization components, templates, and data connectors, integrating securely with internal data platforms and REST APIs and improving query efficiency and caching.
You’ll also drive AI-enabled experiences—such as prompt-driven dashboard creation — evaluating and integrating GenAI responsibly within enterprise guardrails. Partnering with product, UX, data, and security, you’ll shape the roadmap, define success metrics, and provide responsive support by managing feature requests end to end. Throughout, you’ll uphold strong engineering standards in testing, CI/CD, observability, documentation, and operational excellence, contributing runbooks and SLOs that reduce incidents and MTTR.
RESPONSIBILITIES
- Own end-to-end platform evolution: architect, build, and optimize core frontend (TypeScript, React, Redux) and supporting services (Node.js) running on Kubernetes to deliver secure, reliable, and performant experiences at scale.
- Data integration at scale: expand and harden connectivity to internal data platforms and REST APIs; improve query performance, caching strategies, and access controls to uphold governance.
- Advance AI-powered capabilities: explore, prototype, and ship features like prompt-driven dashboard creation and recommendations—implemented responsibly within enterprise guardrails.
- Operational excellence: raise quality through robust testing, CI/CD, observability, and documentation; create runbooks and SLOs to reduce incidents and MTTR; participate in on-call where applicable.
- Cross-functional collaboration: work closely with design, security, data platform, and support teams to deliver cohesive solutions; mentor peers and contribute to engineering best practices and standards.
QUALIFICATIONS
- 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.
BENEFICIAL SKILLS & QUALIFICATIONS
- Experience with AI, GenAI or machine learning
- Prior experience in the financial industry
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
