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SAIC’s National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, DevSecOps, cloud network operations, and secure communications.
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FTS has an opportunity for a Systems Engineer - Cloud Computing in McLean, VA. The Systems Engineer - Cloud Computing provides support to architecture, requirements, design, and prototyping development/testing activities of the establishment of a new network.
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Design, develop, implement, and integrate IA security systems and system components, including those for networking, computing, and enclave environments with multiple enclaves and differing data protection or classification requirements.
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Computing Environment Certification (e.g. Linux+, RHCSA, RHCE, MCSA). Experience on Cloud Computing Fundamentals. You have experience with distributed computing technologies. Computing Environment Certification (e.g. Linux+, RHCSA, RHCE, MCSA.
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Experience with accelerated Computing/ Data Center technology/ Deep learning & machine learning. AWS (Redshift, Aurora, Glue), Google (BigQuery), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR, Cloudera/Hortonworks, etc.
$402,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Conduct and review technical security assessments of computing environments to identify points of vulnerability, non-compliance with established Information Assurance (IA) standards and regulations and recommend mitigation strategies.
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Technical knowledge of Linux computing environments, communication system theory, and radar theory - including modulation/demodulation, RF fundamentals, signal processing algorithm development, X-MIDAS programming, and digital-to-analog conversion systems is strongly desired.
$227,900 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Support software development in the following domains: computer vision and image processing, image simulation, high power microwave systems modeling and simulation, laser source generation and effects modeling, atmospheric modeling, computational electromagnetics (CEM), space domain awareness (SDA), high performance computing (HPC), and computer aided design (CAD) tools, artificial intelligence (AI) and machine learning (ML) techniques, among others.
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As a contributor to the Intelligence Community's first multi-cloud initiative, you will be at the epicenter of emergent cloud computing technologies, establishing a foundation that will evolve to include all agencies within the IC. As a Cloud Engineer , you will advise mission users on utilizing cloud-based IT systems, provide support for development in, or transition to the cloud, and be responsible for the implementation, troubleshooting, and maintenance of cloud environments.
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Qualified candidates will have experience or interest in the full System Design Lifecycle, including requirements definition, design, implementation, algorithm development, verification, and maintenance of systems deployed within advanced computing environments or onto tactical mission platforms.
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Demonstrated proficiency in cloud computing platforms such as AWS, Azure, or Google Cloud. You will have the opportunity to work on exciting and challenging projects, including developing RESTful APIs, implementing microservices architecture, and deploying scalable solutions using cloud computing platforms like AWS. You’ll also engage in system integration and API development, where your contributions will directly enhance system functionality and security.
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BlackSky has extensive expertise and capabilities in commercial remote sensing, multi-source analytics, cloud computing, open-source software development, Amazon Web Services, and big data geospatial analytics.
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Cloud Computing Certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect Expert Certification. Identify, prototype, engineer, and deploy emerging software engineering methodologies and tools.
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Working knowledge with cloud computing platforms, (e.g., AWS, Azure, or Google Cloud, etc. Requires strong technical and computational skills - engineering, physics, and mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced structured data analysis techniques and utilizing high-performance computing environments.
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These are full-time on-site roles for a AI, Machine Learning, Cloud, Cybersecurity, Data Science/Analytics, Software Development, Machine Learning, High-Performance Computing, RF Signal Processing and Signal Processing Software.
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computing job Company: Synchro in Chantilly, VA
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