Job Description
Unix Engineering is a global team that architects and manages the Linux, Virtualization, and Server Hardware computing platform at Goldman Sachs.
The Unix engineering team works closely with application developers and strategists to build and deploy technology solutions at Goldman Sachs.
The team supports an internal cloud platform, is developing solutions for deploying applications on public cloud offerings, and is releasing a next-generation compute platform.
The Linux System Engineer role is responsible for supporting business units' compute requirements and maintaining core infrastructure systems.
This includes topics such as system configuration management, performance testing and tuning, and application and service troubleshooting.
Linux System Engineers also delve into new technologies (Docker, Kubernetes, SaltStack, OpenShift and more), understanding how each can be introduced and engineered to support the continued evolution of our highly-scalable compute platform.
RESPONSIBILITIES
Own and engineer the Linux compute platform at the firm
Write tooling to automate tasks and implement / scale / test infrastructure services
Interact regularly with internal clients and partner engineering teams across the organization
Help evolve, architect, and integrate system deployments on public cloud platforms
Work closely with 1st- and 2nd-level organizations to perform deeply technical troubleshooting
Develop and implement technical solutions and process improvements to improve reliability and efficiency
ESSENTIAL :
5+ years of hands-on experience with architecture, implementation and operation of a Linux-based compute environment
In-depth knowledge of the Linux OS, advanced network concepts, knowledge of traditional storage platforms, firewalls, and load balancers
Experience administering or architecting implementations on Amazon Web Services, Google Cloud Platform, or Microsoft Azure PaaS / IaaS platforms
Significant experience using system configuration management tools (e.g. Chef, Ansible, SaltStack, Puppet, cfengine, etc.
to manage compute infrastructure at scale
Demonstrable experience in setting and meeting project goals when implementing and integrating complex technology concepts
Expertise in at least one scripting and / or high level language : shell, Python, Node.js, Perl, Golang, preferably with experience using REST API interfaces, and using version management (e.g. Git, Subversion)
PREFERRED :
Bachelor's Degree in a Science or Engineering program, or equivalent professional experience
Hands-on experience with containerization technologies and tools : OpenShift, Pivotal Cloud Foundry, Kubernetes, Docker
Experience deploying infrastructure or configuration as code : Terraform, cloud-init, Ansible
Experience using / developing against relational and nosql databases
Experience using serverless architectures, such as AWS Lambda or Google Cloud Functions 
