• Senior Software Development Engineer

    Job Locations US-ID-Boise | US-CA-Los Gatos
    Posted Date 3 months ago(10/15/2018 6:47 PM)
    Job ID
    # of Openings
  • Overview

    If you are an experienced, energetic and talented Software Engineer who is passionate about solving challenging problems and motivated by creating cutting-edge world class SaaS solutions, come be a part of Cradlepoint’s Device Framework R&D team. You will use the latest technologies to develop SaaS solutions for integrating and managing network devices on an open source technology stack while working at the intersection of cloud computing, mobile computing and 4G and 5G wireless networks. You would ideally have development experience with complex SaaS solutions, SaaS infrastructure, platform design, implementation and support. The successful candidate will work with smart, cool people, enjoy a competitive salary and a comprehensive benefits package.


    • Be a team member responsible for developing secure SaaS solutions for integrating and managing network devices in Cradlepoint’s NetCloudTM platform
    • Contribute technical guidance and SaaS architectural recommendations for designing, building, testing, deploying and maintaining highly-available, scalable, and secure applications in cloud computing
    • Responsible for full lifecycle application development using an Agile development methodology
    • Provide software testing while ensuring quality assurance
    • Conduct performance tuning, improvement, balancing, usability and automation of systems
    • Participate in the evaluation and identification of new technologies for implementation
    • Support, maintain and document software functionality


    • 5-10 years of development experience
    • Experience with Unix/Linux development environments, fluent in at least one server-side or application language
    • Proficient in Object Oriented Design
    • Experience with Python and JavaScript is a plus
    • Experience developing and supporting secure, cloud solutions
    • Knowledge of multiple cloud and virtualization technologies
    • Knowledge of networking and routing protocols
    • Understanding of scaling and failover techniques applicable in cloud environments
    • Experience with cloud automation techniques and technologies


    • BS or Master's degree preferred in Computer Science or Engineering


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