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Afero has assembled world-class mobile, hardware, security, and cloud veterans from Google, Apple, Nest, Danger, Microsoft, Amazon, Twitter, and Netflix. Experience with cloud services (AWS or GCP), preferably RESTful API servers.
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. (Google Cloud Platform, AWS, Azure.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 2+ years of experience with AWS, GCP, Azure, or another cloud service. Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Net, C#, Web API, Rest, Entity Framework, Angular, React, Cloud, Azure, AWS, Google, HTML5, CSS3, JavaScript, Software Engineer, Software Development, Programmer Analyst, Programming, Washington DC Recruiters, IT Jobs, Washington DC RecruitingLooking to hire for similar positions in Washington DC or in other cities.
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Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud Platform in particular. Database Query Engine (QA), Automation Infrastructure and Quality Engineering (AIQ), Cloud Platform & Deployment Engineering, Developer Productivity Engineering (DPE.
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Manage enterprise cloud based identity directories including Microsoft Entra ID (Azure Active Directory), AWS Microsoft AD, AWS Identity Center, and Google Cloud Identity Platform.
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In-depth experience with development in Commercial Cloud Platforms (ex, AWS, Google Cloud, Azure) As a Principal Software Engineer on this program, you will have the opportunity to build strong systems, software, and cloud environments and provide operations and maintenance for critical systems.
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9 years with at least two modern programming languages (Java, Python, JavaScript, ACE, IIB/ITX, Informatica preferred), and experience with at least three of the following: React, Angular v4+, NodeJS, NoSQL databases, HTML5, CSS, Google Cloud Platform or Amazon Web Services.
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Cloud deployment of Big-data solutions (e.g. AWS, HDI, Google Cloud) This new data layer serves data to large-scale analytics and AI in any cloud across clusters, regions, clouds, and countries, providing simplified data access to files and objects.
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Deploy, configure, and manage SQL Server and MongoDB databases on various cloud platforms such as Azure, AWS, and Google Cloud. - Proficient in cloud platforms such as Azure, AWS, or Google Cloud.
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The primary responsibility of this role is to lead the development, deployment, and operations of Google Cloud and AWS to support to goals of the business and marketing technology teams.
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Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud in particular. Recommended coursework: cloud computing,compilers, database systems, distributed systems, functional PL, machine learning, networking.
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A Google Cloud professional with Azure and AWS experience who knows the ins and outs of Internet-hosted services. Enterprise experience with Google Cloud and deep familiarity with Google’s best practices.
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2 + years of experience with developing microservices and implementing CI/CD pipelines via cloud computing services like (Google Cloud Platform preferred), AWS, Azure or similar.
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Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions.
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