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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java.
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Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Experience with Natural Language Processing (NLP) or Computer Vision is a plus. Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
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Cloud platforms (e.g.: AWS, Azure, Google Cloud, VMWare, etc.) Assists the Innovation and Technology department and the City's ERP Cloud Suite project manager to assess and execute project plans, system assessment, process analysis, fulfillment of system requirements, and functional definition of planned system changes, according to the City of Coral Gables ERP implementation schedule.
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Experience using tools in at least one cloud computing platforms such as Snowflake (highly preferred), Amazon Web Services, Microsoft Azure, or Google Cloud Platform preferred.
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Build and maintain a secure platform to automate onboarding/offboarding leveraging Cloud SaaS, IaaS, PaaS, such as Azure App Services, Functions, Batch, Okta Identity Engine, Okta Workflows, Salesforce, Freshservice, Zoom, PagerDuty, Box, Datadog, Fortinet, Google Workspace, and Office 365, using their interfaces such as RESTful API or system specifics like Exchange Online PowerShell and Microsoft Graph API.
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Strong knowledge of cloud platforms such as Azure, AWS, and Google Cloud and their security features. Minimum ten years of recent experience with at least three of the following: Security Architecture, threat modelling experience, identity management and authentication, software development, cryptography, penetration testing, cloud security, mobile security, and network security.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, Google Cloud Platform, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Minimum of 3 years of experience managing onboarding, offboarding, access provisioning using Modern Architecture with SSO SAML v2.0 with Okta OIN SCIM, and interfacing Cloud Services to automate tasks using Microsoft Graph API, Exchange Online PowerShell, and RESTful APIs.
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Experience with cloud platforms and services like AWS, Azure, or Google Cloud Platform. Strong proficiency in front-end technologies, such as HTML5, CSS3, JavaScript/TypeScript, and popular frameworks/libraries like React, Angular, or Vue.js.
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Certifications: AWS Certified DevOps, Azure Administrator / Azure DevOps, Google Cloud Engineer; Experience with cloud solutions (Azure, AWS, GCP), Azure AD, Azure WVD, ARM templates, Kubernetes, Containers, Terraform, Azure DevOps, Python, React (5+ years.
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AWS, Azure, Google Cloud Platform); and, A career in our Service Management practice, within Cloud Computing and Networking services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google, HP, Microsoft, Oracle, SAP, and other cloud based platforms to bring new and innovative services to some of the largest companies.
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Experience in selling cloud technologies and services (AWS, Google Cloud Platform, Microsoft Azure) as well as a deep understanding of the growing purpose and role of various public cloud platforms.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
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Knowledge of Microsoft products, Azure, Google Cloud, VMWare, Microsoft 365, Cisco and HPE Networking. Knowledge of Microsoft products, Azure, Google Cloud, VMWare, Microsoft 365, Cisco and HPE Networking.
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