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Nu Advisory Partners

Senior Software Engineer, Transaction Banking, Cloud Data Engineering

Goldman Sachs

Goldman Sachs

Software Engineering, Data Science
Dallas, TX, USA
Posted on Thursday, June 6, 2024

Job Description

What We Do

At Goldman Sachs, our Engineers don’t just make things – we make things possible. We change the world by connecting people and capital with ideas and solve the most challenging and pressing engineering problems for our clients. Our engineering teams build 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.

Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business. Our dynamic environment requires innovative strategic thinking. 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.

Transaction Banking (TxB) brings innovative solutions to traditional banking activities. We are a global team of lenders, investors, risk managers, skilled marketers, web experts, infrastructure engineers and banking specialists. We provide a suite of solutions to help our customers manage their payments in innovative ways.

Transaction Banking

TxB aims to provide comprehensive cash management solutions for GS and other financial institutions. TxB combines the strength and heritage of a 154-year-old financial institution with the agility and entrepreneurial spirit of a tech start-up. Our goal is to provide the best client experience. Through the use of modern technologies centered on data and analytics, we provide customers with powerful tools that are grounded in value, transparency and simplicity to improve cash flow management efficiency.

Our Team

The Cloud Data Engineering team is a global team responsible for engineering and governance of public cloud database and storage platforms, and data integration solutions to support our Payment Orchestration and Execution Platform. Working in close partnership with application teams building the new system, the team is responsible for identifying application requirements and delivering resilient, secure, scalable solutions to fit their needs.

We are seeking highly collaborative, creative, and intellectually curious engineers who are passionate about forming and implementing cutting-edge cloud computing capabilities. Candidates should be comfortable working in a fast-paced DevOps environment.


  • Partner with colleagues across engineering and risk teams to define, communicate, and promote data storage and data integration best practices and governance for public cloud application deployment.
  • Automate the provisioning of data services using Terraform.
  • Design and develop central Terraform modules to simplify the adoption of standard data services by application teams, such as databases, data streaming and analytics services.
  • Design, develop and maintain platform support for those same data services, including observability, resiliency, and availability.
  • Possess strong verbal and written communication skills and ability to present, persuade and influence peers, vendors, and executives.
  • Energetic, self-directed, and self-motivated, able to build and sustain long-term relationships across a multitude of stakeholders in a fast paced, multi-directional work environment.
  • Exceptional analytical skills, able to apply expertise to drive complex, technical and highly commercial solutions.
  • Experience supporting complex production application environments.

Basic Qualifications:

  • Proficiency in designing, developing, and testing software in one or both of Python and Java; open to using multiple languages.
  • Experience with version control, continuous integration, deployment, and configuration management tools in a DevOps environment.
  • Ability to reason about performance, security, resiliency, and process interactions in complex distributed systems.
  • Experience meeting demands for high availability and scale.
  • Ability to communicate technical concepts effectively, both written and orally, as well as the interpersonal skills required to collaborate effectively with colleagues across diverse technology teams.
  • Ability to rapidly and effectively understand and translate requirements into technical solutions.

Preferred Qualifications:

  • Hands on experience with open-source or commercial data streaming/ETL tools such as Apache Flink, Amazon Kinesis or Apache Kafka.
  • Hands on experience architecting, designing, and developing applications in an Amazon Web Services, Google Cloud Platform, or Microsoft Azure cloud environment.
  • Hands on experience with relational and NoSQL databases such as PostgreSQL, MongoDB, Redis or Amazon DynamoDB.
  • Experience using infrastructure as code tools (e.g. Terraform).
  • Experience using CICD (preferably Gitlab).