What We Do
At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.
What We Look For
Goldman Sachs Asset Management (GSAM) is one of the world’s leading investment managers. GSAM provides institutional and individual investors with investment and advisory solutions, with strategies spanning asset classes, industries, and geographies. We help our clients navigate today’s dynamic markets, and identify the opportunities that shape their portfolios and long-term investment goals. We extend these global capabilities to the world’s leading pension plans, sovereign wealth funds, central banks, insurance companies, financial institutions, endowments, foundations, individuals and family offices.
The Client Solutions Group is looking for a Full Stack engineer to assist in the buildout and scaling of the business globally using cloud based hybrid Big Data solutions to provide Sales and Marketing teams seamless experience in achieving their objectives through productivity tools, easy access to analytics and insights along with real time tracking towards their goals.
Skills And Experience We Are Looking For
Basic Qualifications
- Minimum 3 years of experience in Java, J2EE and/or Python
- Strong proficiency in working with data - databases, deriving insights using machine learning.
- You approach problem solving with an open mind within the context of a team
- You have exceptional analytical skills, able to apply knowledge and experience in decision-making to arrive at creative and commercial solutions
- You collaborate with globally-located cross functional team in building customer-centric products
- Strong written and verbal communication skills
- Experience integrating with Restful web services
- Comfort with Agile Operating Models
- Experience working with a variety of technical and non-technical stakeholders.
Preferred Qualifications
- Experience with micro service architecture
- Strong proficiency in: Distributed systems, Low-latency services, NoSQL and relational databases
- Ability to establish trusted partnerships with product heads, and executive level stakeholders
- Experience with AWS
- Experience with Kafka, MongoDB, Spring, Sybase or any RDBMS
- Experience in Financial Services or Fintech is a plus
Goldman Sachs Engineering Culture
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.
Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here!
© The Goldman Sachs Group, Inc., 2025. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.