Cloud Platforms is a global team that develops and manages the Linux & Windows computing platform at Goldman Sachs.
The cloud engineering team works closely with application developers & strategists to architect and deploy technology solutions at Goldman Sachs. The team currently supports an internal cloud platform, is developing solutions for deploying applications on public cloud offerings, and is releasing a next-generation compute platform.
The system engineer role is responsible for supporting specific business units' needs and maintaining core infrastructure systems. Specifically, this involves day-to-day responsibilities such as application and service troubleshooting, system configuration, host provisioning, performance testing and tuning, and hardware evaluation. You will also be responsible for writing code to automate tasks and implement infrastructure services. Lastly you delve into new technologies (docker, mesos, salt & more), understanding how each can be introduced to support the continued evolution of the compute platform.
RESPONSIBILITIES AND QUALIFICATIONS
HOW YOU WILL FULFILL YOUR POTENTIAL• You will also be responsible for writing code to automate tasks and implement infrastructure services. Lastly you delve into new technologies (docker, mesos, salt & more), understanding how each can be introduced to support the continued evolution of the computeSKILLS AND EXPERIENCE WE ARE LOOKING FOR• Bachelor's Degree (or equivalent or higher) in a Science or Engineering program• Excellent analytical and problem-solving skills• Excellent interpersonal and communication skills, verbal and written• Programming skills in one or more of the following languages: Python, Ruby, Perl, Bash• Linux system administration skills• Experience with a configuration management system, such as CFEngine, Salt, Chef, or PuppetPreferred Qualifications• Exposure to large-scale server deployments• Experience with low-latency/high-performance environments• Experience with high-availability systems• Experience with internet/perimeter computing environments