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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service.
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3+ years of experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud. Experience with modern Cloud computing technologies, including Docker and Kubernetes.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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3+ years of experience with a public cloud (e.g., Microsoft Azure, AWS, Google Cloud). Use cutting edge technologies such as Python, Scala, Spark, and a variety of Cloud services to develop modern data pipelines supporting Machine Learning and Artificial Intelligence.
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Prior experience building services which run on Microsoft Azure, Amazon Web Services, Google Cloud, or Oracle Cloud Infrastructure. Any experience leveraging Azure or AWS cloud technologies will be considered a strong plus, but it is not required.
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Experience with modern Cloud platforms and operating systems, including Amazon Web Services (AWS) and Microsoft Azure. AWS, Google Cloud, or Microsoft Azure Certification.
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5+ years of experience with modern Cloud computing technologies: AWS and Microsoft Azure. Experience with cloud AI ML capabilities like AWS, Databricks.
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One or more Cloud Certifications: CompTIA Cloud+, EMC Cloud Architect, AWS Certified Solutions Architect - Associate/Professional, VMWare VCP6: Cloud, Microsoft 70-533: Implementing Microsoft Azure Infrastructure Solutions, Google Cloud: Cloud Architect Professional.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Preference for candidate experienced with cloud AI Client capabilities (e.g., AWS, Databricks) Knowledge of modern software design patterns including microservice design and edge computing.
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Experience with cloud AI ML capabilities like AWS, Databricks is a plus. Knowledge of modern software design patterns, including microservice design or edge computing. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
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Implement DevSecOps principles and related technologies using PO directed tools such as Git, PowerShell, Ansible, Ansible Tower, Windows and Linux server administration, Continuous Integration/Continuous Delivery (CI/CD) pipelines, Amazon Web Services (AWS) Elastic Computing Cloud (EC2), Microsoft Azure Cloud Computing Services, cloud storage, REST (Representational State Transfer) application programming interfaces (REST APIs) and the Atlassian suite of tools (Jira, Confluence, and Bitbucket.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Deep knowledge and experience of Microsoft Azure and Amazon Web Services (AWS) cloud platforms and services in an enterprise environment. Experience with cloud infrastructure and application templates (e.g., using AWS Cloud Formation, Azure Resource Manager.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Experience building production services using Cloud Infrastructure Providers such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud. Manage, report, and facilitate certification of access for all in-scope resources (including SaaS, AWS, Azure, CSS managed applications, tools, and systems.
$150ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Strong experience in Modern Integration – cloud and in-premise and/or hybrid, APIs, and ESB/SOA; and Data/Dataflow governance, strategy, & implementation. · Familiarity with micro-frontends, implementing microservices and container-based architectures and deployments (e.g., Docker, Cloud Foundry, Kubernetes.
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Prior success in designing cloud applications, supporting changes to development, testing, deployment, migration/transformation, and configuration management processes consistent with a DevOps approach.
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