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Excellentexperience (level 3/ 4 expert) managing end-user computing technologies,including Windows, macOS, SCCM, Intune, Image management, Applicationpackaging, mobile device management (MDM), Citrix and AVD. ·Experience inmessaging and collaboration tools such as Microsoft Exchange, Office 365, MicrosoftTeams, One drive, Zoom and Webex.
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At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Currently an AWS centric architecture, they are quickly growing into other cloud environments with Azure and Oracle, across Unclassified, Secret, and Top Secret domains.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges. required with AWS/Cloud development/computing and OpenCV experience.
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As a Solutions Architect within AWS, you will have the opportunity to help shape and deliver on a strategy to build broad use of Amazon's utility computing web services (e.g., AWS EC2, AWS S3, AWS RDS, and AWS CloudFront) directly with customers and our ecosystem of system integrators and solution providers.
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The Customer requires subject matter expertise in technical risk analysis of enterprise and mission systems, IT systems and networks, mobile and wireless networks, cloud-based computing, network management platforms, communication protocols, scripting or programming products, configuration scripts, and IT hardware and software products in support of Customer’s technical risk assessment activities.
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Required Qualifications Active TS/SCI clearance with polygraph required #qinetiqclearedjobThorough knowledge of appropriate analytic tools and methodologies in one or more of the following:Applied mathematics (e.g. probability and statistics, formal modeling, computational social sciences)Computer programming (e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing)Ability to code or script in one or more general programming language.
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Subject matter expertise in at least one area relevant to Red Teaming (e.g. Development, Infrastructure, Social Engineering, Reverse Engineering, Threat Intelligence, Cloud Computing, Identity and Access Management.
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The SDS should have expertise and/or experience in implementing deep learning or artificial intelligence (AI) projects in a High-Performance Computing (HPC) environment; and will be experienced in working with federal government categorical data from flat files, data warehouses, and external/academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer.
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Desired Skills: Hands-on experience with distributed computing systems: Hadoop, Elastic, Spark, EMR, Databricks, or otherKnowledge of AWS Cloud technologies: EC2, S3, SQS, SNS, VPC, ELBUnderstanding of servers operating systems: Linux, WindowsAbility to grasp database methodologies.
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Our clients include seed to Series B startups working on AI, cybersecurity, quantum computing, and other novel technologies. Our clients include seed to Series B startups working on AI, cybersecurity, quantum computing, and other novel technologies.
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This is a chance to use your deep enterprise platform knowledge and broaden your skill set into areas like Cloud computing, large-scale data processing, multiple data store types, high performance data streaming, data science, and supporting the integration of novel mission applications and analytics.
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Must-have hard skills: • 5 years of overall systems administration experience • 5 years of experience with cloud computing technologies • Experience with Git, Terraform, Ansible and Python • Working with multiple teams to suggest, design, and implement high availability solutions in AWS GovCloud.
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Demonstrated experience working within cloud computing environments, Linux and Unix-based operating systems, and using ElasticSearch and Kibana. Demonstrated experience in cloud deployment, DevOps, containerization, web service and API management, and computing optimization.
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3+ years of relevant systems engineering, or systems administration experience using Linux, networking, and storage systemsPREFERRED QUALIFICATIONS- Bachelor's Degree in Computer Information Systems, Computer Engineering or a relate discipline- 6+ years experience with cloud computing technologies- 3+ years of networking experience- 2+ years of experience with support procedures and methodologies for production computing environments.
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The Cloud Systems Engineer (Senior Member of Technical Staff/Engineering Specialist - Cloud Computing & Cyber Security Architecture) contributes to delivery of these services. What You Need to be Successful - Engineering Specialist - Cloud Computing & Cyber Security Architecture.
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computing job Title: architecture Company: Synchro in Chantilly, VA
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