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The Cloud Security Architect (CSA) will leverage broad technical knowledge of cloud security best practices of key public cloud offerings of providers such AWS, Azure, and GCP to establish secure design patterns, to architect integrations among cloud and/or on-premises infrastructures.
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If you’re looking for a high profile and challenging AWS Cloud Engineer position supporting Centers for Medicare and Medicaid (CMS), then Serco has a great opportunity for you! Serco Inc. is seeking a Senior AWS Cloud Engineer to join our talented team – (100% Remote.
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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. Ansible, Terraform, Bit Bucket) and experience working cloud solutions (specifically data products on AWS) are necessary.
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Cloudera Data Platform Private Cloud and Public Cloud), Apache Solr as SME, automation tools (ex. The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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We are looking for a Cloud Site Reliability Engineer who will assist in the centralized operation, management, and governance of FreeWheel's global cloud Infrastructure, primarily backed in AWS (Amazon Web Services) but expanding into GCP (Google Cloud Platform ) and Azure.
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Amazon Web Services (AWS) is seeking a Senior Worldwide Specialist Solutions Architect focused on HPC to work with our customers, including Super Computing Centers, physics informed machine learning, CAE, Weather and accelerated computing with GPU to craft cloud-based solutions.
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4+ years of experience in AWS as a Cloud Security Architect/Engineer and must be certified in the cloud technologies/infrastructures. The Cloud Security - Architecture - Principal will leverage broad technical knowledge of cloud security best practices of key public cloud offerings of providers such AWS, Azure, and GCP to establish secure design patterns, to architect integrations among cloud and/or on-premises infrastructures.
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Experience with distributed data platforms and technologies (e.g., Hadoop, Spark, Kafka) and cloud-based data services (e.g., AWS, Azure, GCP). Certifications related to data engineering or cloud platforms.
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As needed, perform research, and provide technical guidance across the multitude of services available in our core Cloud environments of Azure, OCI (Oracle Cloud Infrastructure) and AWS (Amazon Web Services.
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The Periphery team more specifically supports the AWS Internet of Things (IoT) and AWS Advanced Computing and Simulation (ACS) products and services for US Amazon Dedicated Cloud (ADC) customers.
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Familiarity with Jenkins, Artifactory, Jira, Git, Ansible, Chef, AWS lambda, terraform or cloud native tools like cloudformation. AWS cloud technology knowledge and implementation experience.
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Satellite, Telecom, Datacom, Object Oriented Programming, Software, Coding, Programming, Design, Testing, Agile, Cloud, AWS, Azure, GCP, Kubernetes, OpenShift, Docker, Helm, Terraform. Experience with deploying containerized IP networking applications at scale using Kubernetes over AWS, Azure and/or other cloud-based solution is desired.
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Experience cloud-native monitoring and APM tools such as AWS Cloudwatch, GCP Cloud Operations Suites, and Azure Monitor. Extensive experience architecting, designing, developing, and implementing cloud solutions on one of the public clouds (AWS, GCP, or Azure.
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Certifications such as Certified ScrumMaster (CSM), AWS Certified Solutions Architect, Google Professional Cloud Architect, or Microsoft Certified: Azure Solutions Architect are a plus. Evaluate and recommend enterprise platforms, low code/no code solutions, cloud platforms (e.g., AWS, Azure, Google Cloud), cloud migration best practices for specific use cases, and use of everything as code for pipeline automation.
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Develop ML models in cloud environments, such as AWS, Azure, and Google Cloud Platform. In depth knowledge with one or more cloud providers (e.g., AWS, Oracle, IBM, Azure and GCP) and experience working across environments and on premise.
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