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    Sr. Software Infrastructure Engineer - Redmond, United States - Space Exploration Technologies Corp.

    Space Exploration Technologies Corp.
    Space Exploration Technologies Corp. Redmond, United States

    4 weeks ago

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    Description


    SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not.

    Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

    SR.

    SOFTWARE INFRASTRUCTURE ENGINEER (STARLINK) At SpaceX we're leveraging our experience in building rockets and spacecraft to deploy Starlink, the world's most advanced broadband internet system.

    Starlink is the world's largest satellite constellation and is providing fast, reliable internet to 2M+ users worldwide.

    We design, build, test, and operate all parts of the system - thousands of satellites, consumer receivers that allow users to connect within minutes of unboxing, and the software that brings it all together.

    We've only begun to scratch the surface of Starlink's potential global impact and are looking for best-in-class engineers to help maximize Starlink's utility for communities and businesses around the globe.

    As an engineer focused on Starlink's software and network infrastructure, you will design, operate and scale the infrastructure we use to run the world's largest satellite constellation and manage a network that handles millions of daily users worldwide.

    These positions cover a variety of areas ranging from Developer Operations, to Site Reliability and managing our Kubernetes environment.

    You will develop automation to deploy and manage compute resources both on-premises and in the cloud, create highly scalable and maintainable software products, and directly collaborate with engineering across the board.


    RESPONSIBILITES:
    Develop automation to deploy and manage compute resources both on-premises and in the cloud Deploy and manage core infrastructure such as databases, monitoring and storage Closely collaborate with software engineers to create highly scalable, operable and maintainable products Engage in and improve the whole lifecycle of services from inception and design, through deployment, operation and refinement Invent tools and processes that enable fast, accurate, and easy-to-use development and deployment systems Provide fast and comprehensive software validation, including virtualized, hardware-in-the-loop, and on-orbit test platforms Monitoring and data analysis in support of a continuous integration and release system Hands-on integration and troubleshooting across the entire Starlink stack Create and manage core infrastructure such as databases and software libraries Identify areas for improvement and create innovative solutions that enable high developer velocity


    BASIC QUALIFICATIONS:
    Bachelor's degree in computer science, information systems/IT, or an engineering discipline and 5+ years of professional experience in systems administration, site reliability engineering, or DevOps; OR 7+ years of professional experience in systems administration, site reliability engineering, or DevOps in lieu of a degree 2+ years of professional experience with Linux operating systems Experience with Terraform, Ansible, or other infrastructure tools Experience with containerization technologies (i.e. Docker, Kubernetes) Experience in Bash, Python, and/or other scripting languages Development experience in Python, C++ or


    C PREFERRED SKILLS AND EXPERIENCE:
    3+ years of experience with Python and Python-based development frameworks Strong understanding of virtualization and hypervisor technologies Knowledge of Linux boot process and systems configuration Deep understanding of testing, continuous integration, build, deployment & continuous monitoring Strong understanding of relevant technologies, such as: Bazel or other build systems Linux, Docker, Kubernetes, or similar technologies Understanding of databases and data modeling Experience with automatically managing dozens or hundreds o
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