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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 1+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Experience with NetApp, Quantum, and/or Nimble storage products and cloud storage, like AWS EBS, EFS, S3, S3 IA, and Glacier. Computing environment training or certification in Microsoft, Red Hat, NetApp, Quantum, EMC, Nimble, VMware, Brocade, Juniper, or Cisco.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.
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Experience in one or more areas of quantum computing such as algorithm development, quantum error correction, NISQ/hybrid quantum algorithms, quantum machine learning, or quantum error mitigation.
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We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. At least one of the following certifications preferred: CompTIA Security, Certificate of Cloud Security Knowledge (CCSK), Professional Cloud Architect, Professional Cloud Security Engineer, Certified Cloud Security Professional (CCSP) etc.
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As a Cloud Engineer, you will play a critical role in the design, engineering, development, deployment, and use of software for the DOMEX Technology Platform (DTP), where we support our client's mission to centralize and standardize Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.
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The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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Experience and proficiency implementing frontend and backend services for cloud-native software products and solutions such as VueJS, JavaScript, Python, Django, Flask, Docker, EKS/Kubernetes, AWS Step Functions, EventBridge, AWS Lambda, AWS API Gateway, Elasticsearch, Caching frameworks, Redis, Memcached, the Amazon Relational Database Service (RDS) for Postgres, and/or the MongoDB NoSQL database service.
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Position title: IT Principal Engineer, Azure Architect Position : 129245 The IT Principal Engineer in the Division of Information Technology (DIT) at the University of Maryland, College Park, is an individual contributor, and will perform technical planning, end-to-end architecture development and design specifications for distributed cloud computing environments.
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Undergraduate Databases Health Information Technology Cybersecurity Networking and Telecommunication Programming Web Application Development Cloud Computing. The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Cloud Computing DevOps Engineer, Senior. AWS Certified Solutions Architect, Azure Solutions Architect Expert, and GCP Professional Cloud Architect Certification. Experience with troubleshooting cloud deployments using Infrastructure as Code (IaC.
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Design and support solutions in cloud and virtualized computing environments with and understanding of hybrid cloud architectures. Conduct analysis, design and implementation of infrastructure and cloud data center solutions including computing, networking, routing and security.
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Threat modeling, secure coding, identity management and authentication, software development, cryptography, system administration and network security, cloud computing. Leads architecture design evaluations and threat modelling of our products (cloud and on-prem.
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