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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). As an Artificial Intelligence and Machine Learning (AIML) Architect, you will be responsible for designing and implementing cutting-edge AI and ML solutions to address complex business problems.
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5+ years of experience in modern, open architectures using microservices or serverless in AWS, Google, Azure, or Oracle Cloud. Cloud Architecture, Software Development, or DevSecOps Certification.
Full-timeExpandApply NowActive JobUpdated 1 month 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.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Work with customers to demonstrate and prototype Google Cloud product integrations, guide customers through assessments of their existing legacy application environment(s), provide recommendations on a prioritization road-map for application modernization, and identify applications for migration to hybrid-cloud computing models.
$118,000 - $177,000 a yearFull-timeExpandUpdated 5 days ago - UpvoteDownvoteShare Job
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Good working knowledge of AWS, Azure, Google Cloud, or equivalent cloud service providers; You are excited by business-technology alignment, enterprise technology blueprints and roadmaps, C-Level discussions but ideally you have also experience on Software Engineering, DevSecOps, Cloud platforms, Integration platforms, enterprise applications such as Salesforce and SAP and, why not, even Cobol and mainframe.
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The role will work directly with infrastructure teams and potentially face off with portfolio managers, application developers, quantitative analysts, data scientists and infrastructure teams by functioning as both a solutions architect, helping them implement their own solutions in Google Cloud Platform, and as a professional services engineer, implementing solutions for them in Google Cloud Platform.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Multi-Cloud experience (AWS, Azure, Google) , cloud networking, monitor, serverless, kubernetes. We are seeking a Sr., Network Automation Architect to be a highly knowledgeable lead of a team responsible for developing IT infrastructure solutions and standards that meet or exceed business performance expectations.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Google Cloud Platform, AWS, Azure); Exhibiting proven knowledge of IT Service Management and how it is implemented across different operating models. Industry/SectorNot ApplicableSpecialismPlatform Engineering & ArchitectureManagement LevelSenior ManagerJob Description & SummaryA career in our Cloud and Network Architecture 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 that bring new and innovative services to some of the largest companies.
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Develop and maintain infrastructure as code (IaC) templates for cloud environments such as AWS, Azure, and Google Cloud Platform. Must-have skills: DevOPs, DevSecOPs roles, Cloud Service Providers (AWS, DevOps tools such as Git OR Jenkins OR Ansible OR Terraform), Infrastructure as Code (Terraform, Java OR Java Spring Boot OR Python OR C/C, APIs to query RESTful services, Python, Go, or Bash, Kubernetes, Docker, and Rancher, CI/CD, GitLab, SAST, DAST, IAST, MAST; Linux, Hashicorp.
Full-timeExpandUpdated 19 days ago - UpvoteDownvoteShare Job
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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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This position will architect, design, develop and deliver automation platforms, CI/CD pipeline to support deployment automation, day-two automation, and Network Operation Functions. Experience in least one major manufacture such as Palo Alto, Fortinet, Juniper, CheckPoint, Dell, HPE/Aruba and Cisco for Layer 2/3 network switching, wireless Network technology, Firewall technology, SDN and WAN.
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Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java). Lead the design and development of advanced machine learning models to solve business challenges, leveraging techniques such as deep learning, reinforcement learning, natural language processing, and computer vision.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience with Content Management Systems and other web-based tools such as AEM, Google Workspace, website design and basic HTML required. Experience sending external communication via an automation tool (SalesForce/Marketing Cloud, XMatters, or other modern mass email distribution tools) required.
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Experience with cloud security controls involving tenant isolation, encryption at rest, encryption in transit, and secrets management (Hashicorp preferred). Experience with Cloud Service Providers (AWS heavily preferred) (5+ years.
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Title: Sr. Network Automation Architect. Senior Network Automation Architect. TCP/IP, SSL, LACP, LLDP/CDP, EIGRP, OSPF, BGP, MPLS, HSRP, GLBP, SNMP, STP, VPC, VSS, VDC, MSDP, PIM, IGMP, RTP, SIP, H.323, LWAPP, RADIUS, TACACS+, various 802.11 wireless standards, VXLAN, DNS, DHCP.
$90,000 - $125,000 a yearFull-timeExpandUpdated 3 days ago
google cloud architect jobs in Doral, FL
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