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

Interfaces Engineering team is a global team responsible for engineering and governance of API gateway Kong and messaging systems like Kafka, IBM MQ 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.

Responsibilities:

Design, deploy, and manage Kafka, Kong, and IBM MQ infrastructure.

Develop and maintain microservices and API endpoints.

Write custom Kong plugins for enhanced API management.

Configure and manage IBM MQ queue managers, queues, and channels.

Ensure security, monitoring, and high availability of messaging and API systems.

Collaborate with development teams to integrate applications with messaging and API platforms.

Troubleshoot and resolve issues related to messaging and API management.

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:

Bachelor’s degree in Computer Science or related field.

3+ years of experience with Kafka, Kong or IBM MQ.

Strong understanding of distributed systems and microservices architecture.

Experience using infrastructure as code tools (e.g. Terraform).

Experience using CICD (preferably Gitlab).

ABOUT GOLDMAN SACHS