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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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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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Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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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 Recruiting.
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AWS Solutions Architect Associate or Azure Administrator Associate orGoogle Cloud Engineer Associate. Experience related to AWS, Azure, or GCP technologies such as migration planning, cost optimization, cloud governance etc.
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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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Experience with cloud based data services offered by Azure, AWS and Google. Data migrations and conversions to the cloud and to cloud data warehouse services. Data Engineers analyze and develop on-premises and/or cloud data and ETL solutions to solve the client’s challenges.
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2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Experience operating servers on cloud-based environments (Google Cloud, AWS, Azure) We are seeking an experienced Principal Frontend Server Engineer to lead with design, engineering, and integration of frontend applications for our in-house Content Management System (CMS.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software Engineer. Lead Software Engineer - Back End. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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Strong expertise in developing cloud-based solutions, with hands-on experience in one or more cloud platforms (AWS, Google Cloud, Azure, etc.) As a staff level software engineer at Maven Clinic, you will be responsible for driving the technical vision and roadmap for our Data Platform Teams.
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Lead Software Engineer, DevOps (Google Cloud Platform) At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform.
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Experience deploying in public cloud (AWS, Google Cloud, Azure). You have more than 5+ years hands on experience as a Software Engineer. We are looking for an experienced Software Engineer who can help us develop tools to secure our stack, source code and environment.
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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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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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