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One or more cloud certification such as: AWS Certified Solutions Architect - Associate, Microsoft Certified: Azure Solutions Architect Expert, Certified Cloud Security Professional (CCSP) or Google Professional Cloud Security Engineer.
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Knowledge of solution architecture in web/mobile environments, web/internet technologies, architecture across SAAS/PAAS/IAAS, and Google Cloud productivity suites. 10 years of experience as a solution architect or technical consultant in a cloud computing environment or a customer/partner-facing role.
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Expert level experience in the areas of design and deployment of VMware VCF, NST-T, vSAN, Azure VMware Solution (AVS), Amazon Web Services (AWS), VMC on AWS, Google Cloud Platform (GCP), Google Cloud VMware Engine (GCVE), VMware Horizon VDI, Citrix Virtual Apps and Desktops, Microsoft WVD / AVD & Amazon Workspaces (VDI.
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Languages & Technologies: Java, Kafka, Docker, Kubernetes, DB2, CyberArk, Harness, JIRA, Jenkins, Splunk, Confluence, Git, JSON, API Testing, Cucumber, Selenium, Terraform, Ansible, Veracode, Virtualan, UC4, Change Data Capture, Docker, AWS/Google/Azure Cloud, Open API/Swagger, SOAP Web Service(JAX-WS), Restful Web Service (JAX-RS), Apache-CXF, Spring-Core, Spring WS, Spring Transaction, Spring-Integration, JDBC, Shell Scripting, XML, JavaScript, SQL, Python, JMeter, Gatling, Perl, PowerShell.
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1+ yrs experience with AWS or google cloud. Demonstrated ability to architect in any area of cloud platform architecture through advanced problem solving skills. 4-+ years of app application architect and integration architecture.
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You will be joining a high performing team that works cross-functionally, including with the Commercial Data Architect, Commercial BI/Reporting Analyst, business partners in Commercial Excellence, Sales, Sales Strategy/Planning, and Commercial Marketing in the US and Canada and the IT Data Engineering and Analytics COE. They will be the subject matter expert for commercial data, including the end-to-end process from distributor/retailer to final analytics/insights.
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Experience with cloud-based SAP solutions (e.g., SAP on AWS, Azure, or Google Cloud) is a plus. SAP Platform Senior Architect role will manage the technical design, including its dependencies and integration of solutions into Mars Digital Technologies portfolio, targeting to deliver cost-effective solutions while maximizing service delivery and customer satisfaction within Mars.
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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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Deep understanding of AWS Connect, Google Cloud Center AI, Twilio and other modern cloud based contact center technologies. Experience in integrating NLP platforms and APIs from Apple, Google, Amazon, Microsoft, IBM and other niche enterprise vendors operating in conversational and AI technologies.
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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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3+ years of enterprise experience with cloud application architecture and deployment standard methodologies in Google Cloud Platform, Amazon Web Services or Microsoft Azure. Security or architecture certification such as CISSP, CISM, TOGAF or equivalent.
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Java, Kafka, Docker, Kubernetes, DB2, CyberArk, Harness, JIRA, Jenkins, Splunk, Confluence, Git, JSON, API Testing, Cucumber, Selenium, Terraform, Ansible, Veracode, Virtualan, UC4, Change Data Capture, Docker, AWS/Google/Azure Cloud, Open API/Swagger, SOAP Web Service(JAX-WS), Restful Web Service (JAX-RS), Apache-CXF, Spring-Core, Spring WS, Spring Transaction, Spring-Integration, JDBC, Shell Scripting, XML, JavaScript, SQL, Python, JMeter, Gatling, Perl, PowerShell.
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The SA Director works closely with an Enterprise Architect, Product Management and Release Train Engineer (RTE) to ensure ongoing alignment of technical and business outcomes. Preferred experience with insurance (Claims domain)Preferred certifications - Scaled Agile (ARCH, ASE), Google Cloud (Professional)Preferred experience with Jira, Confluence, and LucidSpark.
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Creation and maintenance of infrastructure-as-code for cloud, on-prem, and hybrid environments using tools such as Terraform, CloudFormation, Azure Resource Manager, Helm, and Google Cloud Deployment Manager.
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. A 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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