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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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Microsoft Azure or similar (AWS, Google Cloud) Infrastructure (DevOps, CI/CD processes, source control, cloud) JavaScript frameworks (React, Vue.js, Angular) React or similar (e.g. Angular, Vue. JS.
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Foundational understanding of one or more of the following: public CSP (Azure, AWS, Google Cloud Platform) cloud infrastructure and networking, Infrastructure-as-Code (IaC), data center automation.
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3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, 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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In this role, you will be responsible for developing and maintaining the fron end of our web application, utilizing your expertise in React Native while working with TypeScript/JavaScript and serverless architectures on AWS or Google Cloud.
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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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Experience with AWS, Azure, and Google Cloud network and security best practices. Work closely with Site Reliability Engineering (SRE) team to continually monitor and maintain the security of production cloud systems.
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Nice to have: Kubernetes, graphql, AWS / Google Cloud as well as Agile / SCRUM / Kanban. Knowledge of Django, Django Rest Framework, Docker, Docker-compose, relational databases (e.g. PostgreSQL), Flask, Redis, Celery, postgresql.
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Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in infrastructure-as-code tools such as Terraform or CloudFormation. Cloud native applications, including Terraform experience.
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Build and expand AI consulting and professional services business across diverse sectors, work closely with our key GTM partners (e.g., Google Cloud, AWS, Microsoft, Nvidia), and help companies of various sizes identify unique AI & Data Science opportunities, we would love to have you on our team.
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Practical experience with at least one of Microsoft Azure, Google Cloud, or AWS. We work closely with Amazon, Microsoft, Google and other world-class cloud partners to optimise Ubuntu for their infrastructure.
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Experience with public cloud tools, such as Google cloud, Azure, or AWS. We're working on some outstanding things, including autonomous and electric vehicles, data centers, micro services, and cloud computing.
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Experience with other cloud platforms such as AWS, Microsoft Azure, Google Cloud Platform and Snowflake is a plus. This class of SaaS applications is built on the Oracle Cloud Infrastructure (OCI) with data and analytics components like Oracle Autonomous Data Warehouse (ADW), OCI Data Lake, and Oracle Analytics Cloud (OAC.
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Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud). A highly skilled and experienced Data Scientist at a competent level with a strong focus on LLM (Large Language Models.
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Experience working with Google Cloud, AWS / AWS AI and ML, AWS Lambda, Amazon Lexbots, and Microsoft Azure. Build and configure demo scenarios in Genesys or NICE CXone Cloud Admin and Architect including ACD, IVR, outbound dialers, queuing, skilling, quality, ACD, Email, Web Messaging, and SMS and other digital channels.
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