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.
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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.
How will you fulfil your potential?
Develop, support, administer and consult in a business-critical trading infrastructure environment for Goldman Sachs China business. As part of a transatlantic team of highly experienced engineers running a large-scale global deployment, you will be exposed to an exciting blend of engineering and operational responsibilities, with a healthy dose of risk management. We are constantly developing and enhancing our toolset to assist in our delivery of a highly available service. The successful candidate will have outstanding verbal and written communications, a natural ability to learn in a fast-paced environment, and will be a self-starter with plenty of initiative. In-depth knowledge of Unix systems is a pre-requisite, as is a willingness to learn new languages and programming paradigms.
Basic Qualifications
- Degree in computer science or engineering, or equivalent industry experience.
- Must possess the ability to handle multiple on-going assignments and be able to work independently in addition to contributing as part of a highly collaborative and globally dispersed team.
- Strong analytical skills with the ability to break down and communicate complex issues, ideas and solutions.
- 5+ years of experience with managing performance, availability and scale for mid to large sized systems.
- In-depth knowledge on Unix/Linux.
- Fluent English and Mandarin communication.
Preferred Qualifications
- Programming expertise in one or more of: Golang, Python, Perl, Shell.
- Experience with storage and networking stacks.
- Proven experience with all stages (inception, analysis, design, implementation, runtime, maintenance) in the lifecycle of large distributed systems.