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Demonstrable experience and knowledge in configuring, operating and managing AWS, Microsoft Azure or Google Cloud Platforms. You will be hands-on in competitive analysis and will also spend time engaging with key stakeholders in product management, sales, and customers to understand and highlight our unique value proposition for cloud security.
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Experience with Cloud Computing platforms (e.g., Amazon AWS, Microsoft Azure, Google Compute Engine) 5+ years of experience working IaC in Multi cloud environment with emphasis on AWS, Azure and AliCloud using Terraform.
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Deep technical knowledge and hands-on experience with Microsoft Azure, including Azure Compute, Azure Storage, Azure Networking, Azure Security, and Azure Virtual Desktop.
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Demonstrating hands-on industry experience within the following cloud platforms: Microsoft Azure, Amazon Web Services. Advanced knowledge of Microsoft products, MS-SQL, VMWare, AWS, and Azure.
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Hands-on experience with cloud services (Microsoft Azure, AWS) The Machine Learning Engineer Intern will work with the technical team to research and develop Generative AI enabled applications and drive intelligent automation solutions for Anika Systems.
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Hands-on experience with the datacenter fabric platforms (Cisco, Arista, or equivalent) Hands-on experience with common routing and switching platforms (Cisco, Juniper, HP/Aruba etc.) Strong technical and hands on experience with DNS infrastructure using Infoblox.
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Preferred Qualifications Understanding of, and/or hands-on experience with, Cloud technologies, such as AWS, Microsoft Azure, etc. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Experience with Microsoft Azure infrastructure, including troubleshooting. Minimum of 8 years of hands-on experience with RPA development, with at least 4 years specifically using Blue Prism.
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Proficiency in cloud computing platforms such as Microsoft Azure, AWS, or Google Cloud Platform, with hands-on experience in deploying and managing cloud-based applications and services.
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Expert level knowledge and hands-on experience working with cloud technologies such as Microsoft Azure and various services applicable to analytics workloads. Hands on working experience with DevOps, Agile, Scrum methodologies as it relates to analytics solution development.
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Certification in relevant areas such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or equivalent. Hands-on experience with contact center platforms such as Genesys, Avaya, Cisco, Twilio, or Amazon Connect.
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Minimum of 8 years of hands-on experience with SQL/No-SQL databases. Minimum of 8 years of hands-on experience with RESTful web services. The Senior RPA Engineer will play a crucial role in designing, developing, and implementing Robotic Process Automation (RPA) solutions using Blue Prism.
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Experience with cloud technologies such as Microsoft Azure IaaS and SaaS is required. Hands on experience of vulnerability assessment and forensic tools of Identity & Access Management technologies.
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10 or more years of experience as Database Administrator (DBA), preferably on Microsoft SQL Server and Azure SQL solutions. Your Moneris Career - The OpportunityThe SQL Database Architect will provide hands-on, technical leadership and oversight on the technical architecture of Moneris, on-premise and cloud-based, database systems to ensure scalability, reliability, security and operational efficiency are in place to support our needs.
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Relevant certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect, or Google Cloud Certified - Professional Cloud Architect preferred, highlighting expertise in cloud architecture and technologies.
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5 Common Interview Mistakes
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