Software Engineer (VP) - AMD Engineering, Data Distribution

Location(s) US-TX-Dallas
Job ID
Schedule Type
Full Time
Vice President
Business Unit
GSAM Technology
Employment Type




What We Do

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, which is comprised of our Technology Division and global strategists groups, 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.


Who We Look For

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.


Goldman Sachs Asset Management Division:

As one of the world's leading asset managers, our mission is to help our clients achieve their investment goals.  To best serve our clients' diverse and evolving needs, we have built our business to be global, broad and deep across asset classes, geographies and solutions. 


Goldman Sachs Asset Management is one of the world's leading asset management institutions. AMD delivers innovative investment solutions managing more than One Trillion US Dollars on a global, multi-product platform. Our products include Hedge Funds, Private Equity, Fund of Funds, Quantitative Strategies, Fixed Income, Fundamental Equity and a Global Portfolio Solutions Business. AMD Technology is directly aligned to the business. Software is engineered in a fast-paced, dynamic environment, adapting to market and customer needs to deliver robust solutions in an ever-changing business environment. AMD Technology builds on top of cutting edge in-house platforms complimented with a strong focus on leveraging open source solutions.


As an AMD Data Distribution engineer you will be responsible for building out the platform for processing and delivering large amounts of data using technologies like Spark, Hadoop, Kafka, MemSQL, Elastic and Data Lake, alongside traditional RDMS technologies.

We are a consumer driven team, with the goal to transform how AMD departments access data, providing a center of technical and functional excellence.

You will provide the infrastructure, frameworks and functional expertise to other engineers and will be called upon to understand the problem domain of our clients, and interface with enterprise level technology teams to evaluate best solutions for AMD.



  • A multi-discipline hands-on developer interested in solving real-world problems in the space of information retrieval, distributed computing, large-scale system design and data distribution that will transform the AMD business.
  • Proficient in an object oriented language like Java/Scala. Eager to learn new ones including functional programming languages. Knowledge of Scala and reactive frameworks like Vertex is a plus
  • Embrace test-driven development and other agile techniques focusing more on their fundamental philosophies then the techniques themselves, allowing better judgement as to when to apply each in order to produce quality software.
  • Ability to work closely with users to understand the problem space, identify solutions and implement them quickly.
  • Focused on developing scalable solutions that solve a particular problem, but are generalized to the right level such that the same solution can be applied to other problems.
  • Constantly trying to improve existing systems / architecture.
  • Keep on top of the latest news in software development from NoSQL/Distributed databases to Reactive Application design to micro-services.

• Computer Science, Mathematics, Engineering or other related degree at bachelors level
• Java, Scala, Scripting, REST, Spring Boot, Jersey
• Kafka, Spark, Hadoop, MongoDB, ElasticSearch, MemSQL, Sybase IQ / ASE
• 5 - 8 years of hands on experience on relevant technologies

Preferred Qualifications
• Hands on experience on AWS Cloud and Kubernetes is a plus




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

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:

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Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity