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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) At least 6 years of experience in software engineering (Internship experience does not apply.
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We are particularly interested in candidates in the areas of Artificial Intelligence (including Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, and Information System Design.
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Manage an engineering team responsible for analyzing, designing, programming, debugging, and enhancing software solutions used in various computing environments. Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions.
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Pearson VUE offers a great environment to start or grow your career, we are now hiring for a Part time Test Administrator to join our team in Reston, VA (11150 Sunset Hills) Starting pay is $ per hour + eligible for accrued paid sick time.
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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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1 or more professional certifications (SAFe PM/PO, Security+, CCSP, CISA, CRISC, AWS Cloud Practitioner) Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.
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Solutions architecture and hands-on engineering/full-stack development of scalable and secure distributed systems using modern software technologies and programming, Cloud Native and microservices architecture, containerization, and API-First design patterns.
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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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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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This role will focus on leading the automation and components (Solr, HBase) set up and improvement for Cloudera CDP public cloud and integrate with other AWS services. Cloudera Data Platform Private Cloud and Public Cloud), Apache Solr as SME, automation tools (ex.
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Preferred Qualification Minimum of 6 years' experience in cybersecurity, including cloud security, compliance, and risk management with a background in system and network security engineering.
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At least 8 years of experience in software engineering (Internship experience does not apply) 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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5+ years of experience with architecture and engineering in major cloud services, such as AWS, Azure, or GCP, and with Kubernetes and Terraform. 7+ years of experience in cloud architecture and engineering, including leading cloud solution projects for federal health clients.
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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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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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