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Conferences (recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon. Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. You'll be the maestro behind installing, troubleshooting, and enhancing operating system software, sculpting network components, and adding layers of reliability and performance.
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GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. 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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Experience with distributed scalable Big Data Storage (NoSQL) such as Elasticsearch, Hbase, Cloudbase/Accumulo, Big Table, etc. As a Senior DevOps Engineer on our client's team, you will be a driving force behind the optimization and automation of their IT infrastructure and software development pipelines.
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Bachelor's degree in computer science, information systems, telecommunications, or an engineering focused field. Demonstrates knowledge of a broad range of technology towers i.e.: Storage, Virtualization, Intel, Networking, Data Center Migration and Disaster Recovery.
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T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering.
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Computer Engineering: Analyzes data processing requirements to plan EDP systems to provide system capabilities required for projected workloads. May set up and control analog or hybrid computer systems to solve scientific and engineering problems.
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Education: Four (4) year college degree in Information Systems Technology, Computer Science, Engineering, or related field, with six (6) years of work experience building, managing and maintaining IT systems in a production environment or in lieu of education ten (10) years of experience.
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Combine software and data engineering practices to strengthen enterprise data governance. As a key SA/COP team member, you will work as part of a fast paced, Agile development and implementation team to architect, design and develop a data engineering detailed design solution that supports a unified data integrated platform that expands the foundational Integrated Data Architecture platform (Confluent and ELK platform.
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Strong grasp of computer science fundamentals, algorithms and data structures, Object Oriented programming, and implementing security into software early in the development process.
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Use encompassing skill sets within the computer science discipline to design, develop, deliver and operate solutions to hard cryptologic computer science problems within a scientific framework; solutions may arise in the forms of forensics and attack attribution, protection of critical networks, active systems warnings and indicator, active penetration into target systems, knowledge discovery of passive and active systems, or other cryptologic computer science mission support.
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Master's degree in Math, Computer Engineering, Computer Science, or related discipline from an accredited college or university, plus 5 years of experience as a Software Engineer, in programs and contracts of similar scope, type, and complexity.
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Headquartered in Colorado Springs, CO and with operations in Boulder, CO, Washington, DC, Huntsville, AL, Albuquerque, NM, Ogden, UT, and San Diego, CA, our success is built on the excellence of diverse teams advancing innovative systems and operational software to strengthen our customers' superiority in Space.
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Requisite computer science skills (operating systems, compiler theory, database theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structures) are applied to each problem to provide state-of-the-art techniques, tools, and approaches.
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SIGINT Geospatial Analyst candidates will apply geographic information science (GIS) in response to intelligence needs. Knowledge of geospatial SIGINT data, analytical methods, and visualization, in addition to technical knowledge of target technologies.
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Must be capable of participating in all phases of software development with emphasis on the planning, analysis, testing, integration, documentation, and presentation phases; and apply principles, methods and knowledge of the DevSecOps and Cloud computing capabilities to specific task order requirements, and methods to exceptionally difficult and broadly defined technical to arrive at automated solutions.
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data science computer software big jobs Company: Apple in Castine, ME
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