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SAIC is seeking a Senior Cloud Computing Engineer with an active Interim Secret clearance to join the Cloud One Digital Engineering Team. This team is responsible for the architecture, engineering and sustainment of AF Cloud Digital Engineering platform currently deployed on AWS Cloud.
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Experience with cloud-based quantum computing platforms (e.g., Google Quantum AI, IBM Quantum Experience). Knowledge of machine learning and its applications in quantum computing.
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SAIC is hiring a Senior Cloud Computing Engineer with an active Interim Secret clearance to join the Cloud One Digital Engineering Team. AWS Cloud Certification with experience as AWS Cloud Engineer.
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Area of Specialization: Data Management, Computer Science/Software Engineering, DevOps or related discipline Engineering, Cloud Infrastructure, cloud computing or related discipline - Specialized knowledge in data management, software implementation, cloud computing, etc is needed to manage Onyx products.
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SWBC is seeking a talented individual to design and implement enterprise infrastructure and platforms required for cloud computing as well as analyzing system requirements ensuring that systems are built for security, resiliency, scalability, and availability.
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The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire a Research Scientist with experience in semiconductor process development who will aid in AWS’s effort to bring cloud quantum computing services to its worldwide customer base.
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Understanding of cloud computing principles, including virtualization, containerization, microservices, and serverless computing; Risk Management, RHCOS security, container security, Kubernetes security, IAM security, network security, auditing, encryption, secrets management and data protection, securing CI/CD.
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Experience with network-attached storage systems (preferably NetApp), Windows Server 2012 or higher, and VMWare ESXi/vCenter management, familiarity with public cloud infrastructure (Amazon Web Services, Google Cloud Platform, Azure) and containers (Docker, Kubnernetes, Singularity), familiarity with graphics processor unit (GPU) usage Cluster Computing and basic knowledge of Deep Learning is preferred.
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Experience in cloud computing architecture, IoT technical design, and cloud-native application development leveraging IaaS, PaaS, and SaaS delivery models. Strong proficiency with cloud services (e.g.: OpenShift, Azure, AWS), modern JS frameworks (e.g.: React, Angular, NodeJS), SQL and NoSQL DBMS (e.g.: SQL Server, Postgresql, Mysql, Redis, MongoDB), Object-oriented development (e.g.: Java, Node.js, Go, Rust or.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud.
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Implement and maintain security controls for cloud computing services such as AWS/C2S, Microsoft Azure, Nutanix, and VMware. Proficiency in one or more cloud computing services and technologies, such as AWS/C2S, Microsoft Azure, Nutanix, and VMware.
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Quantinuum's technology drives breakthroughs in materials discovery, cybersecurity, and next-gen quantum AI. With approximately 500 employees, including 370+ scientists and engineers, Quantinuum leads the quantum computing revolution across continents.
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TDD, CI/CD, Distributed Computing, Linux Stack, MLOps, Machine Learning Operations, HPC, High Performance Computing, AWS, GCP, Cloud, Trading, Financial, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago RecruitingLooking to hire for similar positions in Chicago, IL or in other cities.
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Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks) Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks.
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
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