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The Google Cloud Platform (GCP) Apigee Architect Manager role is responsible for delivery and implementation of Google Cloud Platform (GCP) Apigee EDGE infrastructure and APIs. The ideal candidate would also be responsible for developing and delivering Apigee solutions to meet today's high demand in areas such as AI/ML, IoT, advanced analytics, open source, enterprise collaboration, microservices, serverless, etc.
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Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etc Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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One or more cloud certifications: Oracle Certifications: OCI Associate Architect, OCI Architect Professional; AWS Certifications: AWS Solutions Architect, AWS Security Specialist, Microsoft Certifications: Azure Security Engineer, Associate, Azure Solutions Architect, Google Certifications: GCP Cloud Architect Certification.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Knowledge and some working experience with Azure, AWS, and Google cloud products. Experience with any IDaaS providers (i.e., Akamai Identity Cloud, Okta, Auth-0, Ping Identity)Agile/Scrum experience and familiarity with JIRA and Confluence or similar tool sets.
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Drive the development of a comprehensive generative AI SDK, integrating Large Language Models like OpenAI and Google AI with popular programming languages such as Python, Java, c# etc., using platforms like AWS Bedrock or Azure Semantic Kernel or Google's Vertex AI.
$218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud (AWS, Azure, Google Cloud Platform, Kubernetes) Working knowledge of modern information system terminology, concepts, and practices, including Cloud technologies, microservices, and abstraction layers.
$170,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Platforms: Nvidia AI, Nvidia DGX, AWS, Google Cloud for deploying scalable solutions. Familiarity with cloud-based computing solutions (AWS, Google Cloud) for scalable data analysis.
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Leads migrations of resources to Azure from on-premises, Google Cloud Platform, Amazon Web Services, or other Azure tenants and experience working with migration tools such as Azure Migrate.
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As a Sr. Data Engineer at SADA, you will work collaboratively with architects and other engineers to recommend, prototype, build and debug data infrastructures on Google Cloud Platform (GCP.
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G AWS Certification, Google Cloud Platform Certification). You will own incident management, problem management, and service ownership enablement for all LivePerson products, spanning our private cloud and public cloud infrastructure.
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Understanding of cloud architectures and services involving SaaS solutions with leading cloud providers (AWS, Microsoft Azure, Google Cloud). Customers rely on Dremio for cloud, hybrid, and on-prem lakehouses to power their data mesh, data warehouse migration, data virtualization, and unified data access use cases.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency in cloud technologies such as AWS, Azure, or Google Cloud Platform. As a Principal Software Engineer, you will be at the forefront of revolutionizing how enterprises approach cloud technology.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Azure, AWS, or Google Cloud) and related services like serverless computing, containerization (Kubernetes, Docker), and infrastructure-as-code (Terraform, CloudFormation). Experience with scalable cloud platforms (ex.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience working with Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. Experience implementing CI/CD pipelines, using technologies and platforms such as Kubernetes, AWS CodeBuild, Azure DevOps, or GCP Cloud Build.
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Strong knowledge of implementation, security, capacity planning & performance tuning of solutions deployed to Cloud technologies Azure (ACS, AKS), Google, IBM, AWS or Cloud Foundry.
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