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The technology focus will be data and voice communications, including DNR (voice/FAX), DNI and other advanced technologies over IP.To be considered for this position, candidates must understand the significance of their role within a 24x7 mission essential TTO and be able to support varying schedules at times to ensure mission coverage.
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Ensure compliance with data security and governance policies in M365 and Azure environments. Proven experience as an M365 Engineer, Cloud Engineer, or similar role, with a focus on M365 and Azure cloud environments.
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The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements.
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You will work in a teamed environment to analyze live tactical sensor data; identify and solve problems that impact mission requirements; compare to physics-based simulations that provide unprecedented realism and new levels of understanding of system performance in operationally realistic environments in the presence of the world's most challenging threats.
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Must have experience with: - Linux - Ciena - NiFi Knowledge of cables and collections systems is required Thorough understanding of data flow is required An active TS/SCI with Polygraph is required.
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The selected individual will provide system engineering expertise in several of the following areas: architecture, design, development, requirements analysis, data flow, network design/implementation, testing, and documentation.
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Experience in large Data Center or Enterprise/campus designs, architecture, deployment, and configuration with physical and virtual appliances. Work with various stake holders to lead problem solving, evolve system roadmap and take critical decisions.
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Deploy solutions to various DISA Core Data Centers around the world including planning, installation/configuration of hardware/software, testing, external integration, and transition to operations.
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As a DevOps/S y stem Engineer , you will Maintain data files and control procedures for a system of networked computers or for a single group of microcomputers linked to a host workstation, or mainframe Maintain system security and data integrity Assign passwords and monitor use of resources, back up files as required and work with management to define requests for information.
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The team will collectively be responsible for overseeing integration and deployment of network management software; interfacing with 3rd party data collection stream(s); establishing workflows to automate deployment, configuration, and monitoring of hardware/software systems; configuration, remote management, and troubleshooting of test/lab equipment, including root cause analysis; working with software and hardware development teams for requirements, integration, testing activities.
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Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization.
$272,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Conduct data captures to obtain computing performance and system configuration information. Design solutions, integrate, configure, test and deploy numerous types storage and data protection technologies from EMC, NetApp, Nutanix, and others.
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This includes effective provisioning, installation/configuration, operation, and maintenance of hardware and associated solutions at all corporate data centers, back office locations, and branch locations.
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Technologies: Amazon, Azure, Cloud Architecture Methodologies, Cloud Storage Options, Knowledge of Data storage solutions (RDS, DynamoDB, AWS S3 or Azure Storage Responsibilities and Duties. Guides system development and implementation planning through assessment or preparation of system engineering management plans and system integration and test plans.
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Apply artificial intelligence, machine learning, and data fusion methodologies to complex, real-world problems and build robust computational frameworks to support advanced data-centric analyses.
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data job Title: system engineer in Laurel, MD
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