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    Cloud Storage Engineer - Dallas, United States - Goldman Sachs

    Goldman Sachs
    Goldman Sachs Dallas, United States

    2 weeks ago

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    Description

    MORE ABOUT THIS JOB:

    Your Impact

    Our team of engineers builds solutions to the most complex problems. We develop cutting-edge systems and processes that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to critical deal information and crunch billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field.

    The storage engineering team is responsible for the end-to-end lifecycle, including analysis, evaluation, design, testing, integration and sustained engineering of cloud storage products for the firm's huge private and public cloud deployments.

    As a Cloud Storage Engineer, you will be designing and implementing the next generation storage systems for the firm's huge private and public cloud deployments, with specific focus on file storage services.

    How you will fulfill your potential

    Engineer and deploy next generation of high performant and resilient file storage to meet the business needs.

    Enable cloud journey for our business partners by understanding their storage requirements and providing appropriate solutions in both external and internal cloud.

    RESPONSIBILITIES AND QUALIFICATIONS:

    Basic Qualifications

    • Between 3-5 years of experience in cloud storage systems for file (such as NetApp, Dell Unity)
    • Good understanding of NAS protocols (NFS and SMB)
    • You are competent in Linux/UNIX-like operating systems, I/O and network stack tuning, and performance profiling.
    • You understand how to deliver reliable services out of unreliable components
    • Familiar with DevOps tools and version control systems (SVN, Git)
    • Experience with engineering and operating a hybrid cloud delivery model with focus on data coherency between on-prem and off-prem components.
    • Strong analytical, problem solving, and trouble shooting skills
    • Desire to learn new technologies

    Preferred Qualifications

    • Proficiency with Python, Bash or other scripting languages with a focus on testing and sound SDLC practices.
    • Familiarity with hyperscalers (AWS, GCP, and Azure)
    • Beneficial, but not required, experience in block storage (Dell, Hitachi, HPE), object (AWS S3, Dell ECS), and/or backup solutions (Networker, DataDomain, Cohesity).
    • Familiarity with Elastic Search and Kibana
    ABOUT GOLDMAN SACHS:

    The Goldman Sachs Group, Inc., 2021. All rights reserved.

    Goldman Sachs is an equal employment/affirmative action employer

    Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

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