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    Software Engineer - Germantown, United States - VetJobs

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    Description
    Job Description

    EchoStar has an exciting opportunity for a Software Engineer in our Hughes Network Systems division. HUGHES is a leading provider of satellite products and services that recently announced disruptive in-flight entertainment and connectivity solutions for airlines. Hughes is at the forefront of satellite technology, offering innovative products and services.

    Responsibilities:
    • Participate in discussions with stakeholders regarding requirements
    • Participate in requirements analysis discussions, and formulate requirements
    • Plan, organize, and implement day-to-day activities by working closely with developers, architects, and technical release managers
    • Understand complex business and functional requirements and develop solutions using Google Cloud Platforms
    • Manage and Track bug fixes in JIRA
    • Assist in creating, executing and maintaining test scripts
    • Support different teams (such as System Integration Team, User Acceptance Team and Production) at Hughes to support feature/functions in the SDLC process
    • Gain working knowledge of Aero Program, which will enhance your effectiveness in this role
    • Contribute to improving automation across various tasks in the End to End System/Application testing to enhance efficiency
    Additional Qualifications/Responsibilities

    Basic Requirements:
    • Bachelor's degree in information technology, Computer Science, Information Systems, or related field
    • 5 total years of experience as a software engineer
    • 2+ years of experience in Python Programming
    • 2+ years of experience in Google Cloud Platform (GCP) Services (Cloud Run, Compute Engine, Big Query, Kubernetes etc.)
    • 2+ years of experience in Python, JavaScript, and other programming/scripting languages to develop solutions
    Preferred Qualifications:
    • Familiarity with DevOps and SRE practices
    • Familiarity with CI/CD pipelines
    • Understanding of AI/ML concepts and libraries
    • Experience with Containerization (Docker, Kubernetes)
    • Strong understanding of SQL, relational databases, and normalization principles
    • Working knowledge of Enterprise level software systems
    • Demonstrated understanding of algorithms, data structures, and data model
    • Excellent verbal and written communication skills
    • Must be capable of working under general direction
    • Knowledge of MQTT, PUPPET Tools
    • Knowledge on Industry Standard IAM (like OKTA) for enterprise level software systems
    • Experience with JIRA/Confluence
    • Knowledge of system testing best practices and methodologies
    Will be eligible for discretionary bonus, with funding based on company performance.

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