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Experience in Computer Network Operations - Utility Computing, Network Management, Virtualizations (VMWare or VirtualBox), Cloud Computing. Cloud and Distributed Computing Information Retrieval: at least one or a combination of several of the following areas - HDFS, HBASE, Apache Lucene, Apache Solr, MongoDB.
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Experience with Computer Network Operations: Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), Cloud Computing 2. Multi Node Management and Installation: Management and installation of Cloud and Distributed Computing on multiple nodes, Python, CFEngine, Bash, Ruby or related technologies.
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This position serves as part of an interdisciplinary team of faculty teaching programming, security, networking, digital forensics, and cloud security operations. Experience with cloud computing (AWS preferred) or artificial intelligence (AI) and machine learning (ML) is desired but not necessary for applying.
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Description 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, SecDevOps, cloud network operations, and secure communications.
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Do you like helping U.S. Intelligence Community agencies implement innovative cloud computing solutions and solve technical problems? We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
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Do you like helping the Department of Defense (DoD) implement innovative cloud computing solutions and solve technical problems? Would you like to do this using the latest cloud computing technologies.
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Experience with big data platforms, black box testing, cloud computing, disassembly, global telecommunications system architectures and protocols, protocol analysis, ICS and SCADA design and systems, software debugging, streaming analytics, vulnerability management, or mitigation.
$193,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Functional Domains: High Performance Computing, Cloud Computing at Petabyte Scale, Computer Network Operations, Mission Management, Signals Processing, Data Visualization, Data Flow, and more.
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The AWS Mercury ADC Ops team is seeking highly motivated engineers who are focused on operational excellence and troubleshooting complex system operations, have a good understanding of Linux, networking and general knowledge of cloud services.
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Interfacing with Cloud and Distributed Computing Technologies: at least one or a combination of several of the following areas - Spring MVC, J2EE, HDFS, HBase, JMS, Concurrent Programming, Multi-Node implementation/installation and other applicable technologies.
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Founded in 2010, BrainTrust is an ever-growing and evolving company, with focus areas of Software Engineering (Machine Learning, Cloud Computing, HPC, Data Mining, HLT), Mission Operations (System Integration, Sensors, Deployment, Training, Support), and System Engineering (System Design, Requirements, Process Engineering, Resource Allocation.
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The ideal candidate should have a firm understanding of DoD and intelligence community program delivery, incident and problem management, business process re-engineering, Cloud environments, SaaS, HR, Operations, Technology transformations and should have a working knowledge of schedule activities, program management operations, and the information technology lifecycle for SaaS cloud-based systems (or demonstrate like in kind experience with major technology transitions.
$199,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with cloud computing platforms and containerization technologies (e.g., AWS, Azure, Kubernetes) is a plus. As a vital link between technical and business realms, the operations lead will drive clear communication, enforce governance frameworks, and champion continuous improvement initiatives.
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Qualifications Strong experience with containerization, orchestration, and cloud computing platforms (e.g., AWS, Snowflake, Azure, GCP, Docker, Kubernetes. Proven leadership experience in machine learning operations, including managing teams responsible for model deployment, monitoring, and maintenance.
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Proven expertise in the VMware suite of cloud computing and virtualization technology. The Data Center Engineer will play a crucial role in managing and maintaining our data center infrastructure and cloud-based services.
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