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Job Title: Cloud Engineer - AWSLocation: Lansing,MI (Hybrid)Duration year with possible extension Top Skills & Years of Experience:+ years of Cloud technologies experience, preferably in AWS.Experience with AWS services like S, EC, VPC, LAMDA, Amazon manage streaming for Apache Kafka (MSK), BROSA (OpenShift.
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You will be responsible for for designing, developing, and implementing integrations between on-premise data transformation and orchestration tools and the cloud-based OpenText Exstream platform using Microsoft Azure.
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Oracle Cloud Infrastructure (OCI) and/or AWS, Azure, or GCP compute, storage, and network operational experience. We are looking for hands-on Security Engineer with hacker (Red, Black-box) and cloud pen-testing expertise with passion in identifying and exploiting complex Security problems in distributed, multi-tenant services and infrastructure to help keep our services secure.
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Experience working with production cloud environments (AWS/GCP/Azure). Deep understanding of cloud networking, scale and security concepts. Design, build, automate, scale, and secure Checkmarx production environments using infrastructure-as-code with AWS CDK, Jenkins, Argo CD, Docker, Kubernetes, Operator Framework, Helm, Bash, Go, and Python.
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Experience with cloud-based SaaS/PaaS/IaaS providers and working with virtualized systems, including application servers, databases, and networking infrastructure. Knowledge of Nice In Contact CXone (ACD, IVR, Auto Dialer, OMNI Channel, WFM, Studio, Interaction Analytics, POCs & Auto Attendant) [ 5+ years of experience preferred.
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You have experience working with cloud environments like Azure and AWS and you have recent and direct experience working with DevOps tools and GitOps in a fast-paced Agile environment. Lead automation of provisioning of cloud services using infrastructure as code and configuration management tools such as Terraform, Ansible, and Azure Resource Manager in a GitOps environment.
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Possess deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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Microsoft, AWS, ServiceNow, or Snowflake Certifications in the Data & AI domain. Experience in leading business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and cloud applications at scale.
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Working knowledge of AutoDesk design products which may include AutoCAD, Civil 3D, AutoDesk Construction Cloud, Revit, and Navisworks. Working knowledge of AutoDesk design products which may include AutoCAD, Civil 3D, AutoDesk Construction Cloud, Revit, and Navisworks.
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The ideal candidate will have experience with AWS, Terraform, Python, and/or Linux administration, possess strong problem-solving abilities, and have a passion for helping our internal developer teams by providing an exceptional developer experience.
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Adobe marketing cloud products like Dynamic Tag Manager, Target, Analytics, AEM Forms, Campaign Manager. Adobe marketing cloud products like Dynamic Tag Manager, Target, Analytics, AEM Forms, Campaign Manager.
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Adobe marketing cloud products like Dynamic Tag Manager, Analytics, AEM Forms, Campaign Manager. Adobe marketing cloud products like Dynamic Tag Manager, Analytics, AEM Forms, Campaign Manager.
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5 years of consulting or industry experience delivering HCM solutions, preferably Oracle Cloud. Oracle Compensation Cloud Certified Implementation Professional. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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Familiarity with software engineering tools, software development lifecycle (SDLC), and cloud technologies (AWS, Azure, GCP). 5+ years of proven experience in a pre-sales, sales engineering, or solutions consultant role in the software industry, preferably with B2B or B2G enterprise SaaS products with a specific industry or sector focus.
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cloud computing aws jobs Title: deep learning Company: Capital One in Lansing, MI
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