Global Banking & Markets - GM Digital Assets Eng - Associate - Bengaluru

Who We Are

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.

A Software Engineer within the Goldman Sachs (GS) Digital Assets Engineering, with firm-wide mandate to partner and support the Goldman Sachs Digital Assets business offering tokenized securities and non-securities, cryptocurrency and digital currency products.  You will be using innovative Distributed Ledger Technology (DLT) to build and support market-leading digital platform and cryptocurrency solutions, offering new investment products and/or transforming, disrupting traditional capital market processes.

You will be able to independently and hands-on design and develop software solutions, work closely with business, technology and control stakeholders within Global Banking & Markets and Engineering. The products and processes that you build and integrate will span across FICC, Equities and Asset Management business domains.

 

Basic Qualifications

How You Will Fulfill Your Potential

• Design, develop, and support tokenized assets software solutions using DLT and smart contracts to model Real World Assets (RWA) and cover trading, settlement, financing, custody and/or post trade 
• Design, develop, and support cryptocurrency software solutions on Bitcoin and Ether trading, financing, derivatives and data analytics products
• Research and build up expertise on latest blockchain protocols and smart contract programming, integration between DLT and traditional financial systems.
  

Skills & Experience We Are Looking For

• Computer Science or Engineering graduate with 3+ years of software development experience in one or more general purpose programming languages such as Java, Haskell/Scala, Python
• Minimal 2+ years’ experience and strong proficiency in DLT and smart contract programming, track record in developing digital assets software solutions using DAML, Solidity, Rust, etc. 
• Experience with traditional Financial Markets products and workflows – Debt Securities, Equities, and/or Funds
• Good technology knowhow with blockchain protocols and smart contract programming on Canton or EVM-based blockchains
• Experience with DevOps, SRE and AWS cloud implementation.
• Excellent communication, analytical and self-motivated, attention to detail.
  

Preferred Qualifications

• Experience with tokenizing RWAs, covering lifecycle processing across issuance, distribution, trading, settlement, custody and financing.
• Hands-on knowledge and insight into blockchain underlying protocols, e.g. FIX/SWIFT -to- blockchain integration, cross-chain interoperability, consensus protocol, ZKP cryptography, etc.
• Apply Generative AI on digital assets and cryptocurrency domains.

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.

 

 

Experience Level

Mid Level