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.

The RoleTransaction Banking:

Transaction Banking, a business unit within Platform Solutions, aims to provide comprehensive cash management solutions for corporations. Transaction Banking combines the strength and heritage of a 155+ 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.

The Team:

Financial Risk Engineering is a global team with presence in New York, London, Bengaluru and Dallas. We are responsible for the technical design and development of systems that protect the firm and our clients from Financial Crime including real time Fraud prevention and compliance with global Sanctions and regulatory requirements, using existing and emerging technologies.

The Role:

Working in the Financial Risk Engineering team in London, you will be responsible for the development, testing and rollout of new features. You are expected to shape and implement our strategic vision for a variety of next-gen platforms that will protect the firm and our clients from Financial Crime, contributing to a world-class engineering culture, while integrating business value and client experience within the team. We expect a successful candidate to have excellent communication skills, deliver high quality software and to be passionate about cutting edge engineering systems. You must have a proficient understanding of software development concepts. A good understanding of the Cloud and Container concepts is a plus. You will also be responsible to develop supportable software and liaise with our SRE (Site Reliability Engineering) team to factor in their requirements.

RESPONSIBILITIES AND QUALIFICATIONSHOW YOU WILL FULFILL YOUR POTENTIAL

• Develop full stack applications with due consideration to security, design, validation and SDLC framework
• Collaborate with product managers, business operations, engineers to define product requirements, objectives
• Participate in system design consulting, platform management
• Develop resilient, scalable and secure modules using cloud native services

BASIC QUALIFICATIONS

• BS degree in Computer Science or related technical field involving programming or systems engineering.
• Minimum 3 years of relevant professional experience using a modern programming language (preferably Java)
• Proficiency in development with Java, springboot, REST APIs
• Experience engineering solutions with distributed tracing, Performance testing, Authentication, Authorization
• Proficiency with algorithms, data structures and software design
• Experience with UNIX operating systems internals, infrastructure as code-Terraform and networking
• Proven to work independently in a fast paced and often multi-direction work environment

PREFERRED QUALIFICATIONS

• Experience with development and design of distributed systems
• Experience in financial services specifically corporate cash management desirable
• Strong communication skills, drive, and ownership
• Experience with AWS services - Amazon MSK/Apache kafka, ECS/kubernetes, S3, IAM, AWS XRay
• Basic knowledge of data science and machine learning is preferable but not essential

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