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The Google Cloud Platform (GCP) Platform Engineer, role is responsible for implementation and support of GCP infrastructure and solutions. Experience in GCP services such as: Compute Engine, App Engine, Kubernetes, Cloud Storage, BigQuery, Cloud SQL, Cloud Spanner, Cloud Functions, Cloud Run, Cloud Pub/Sub, Cloud Monitoring, and Cloud Logging.
$224,600 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$241,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Responsible for the development of cloud native APIs including design, build, and test on Google Cloud Platform's (GCP) Apigee EDGE API management platform. The Google Cloud Platform (GCP) Apigee API Developer role is responsible for the implementation of cloud native APIs built on GCP Apigee EDGE API management platform.
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Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). The Senior Machine Learning Engineer will work on building AI/ML solutions across a wide range of business applications.
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Previous experience as a DevOps/DevSecOps Engineer supporting applications and platforms running in private or public cloud (such as Rancher, Anthos, AWS, GCP, VMWare). Experience with containers, enterprise container orchestration, and related tools such as Docker, Rancher, Kubernetes, and public cloud container services.
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Proficiency in cloud services, tools, and technologies (e.g., AWS, Azure, GCP). Title: Cloud Engineer. Certifications in cloud platforms such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect, or Google Cloud Professional Cloud Architect.
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies. Technical expertise across all deployment models on public cloud, private cloud, and on-premises infrastructure.
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications. Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with cloud security platforms (e.g., AWS, Azure, GCP) in a managed services environment. The Senior Security Engineer, reporting to the Director of Security, will be responsible for supporting the Company’s cybersecurity programs for its corporate networks, OT Networks, and cloud infrastructure, playing a critical role in safeguarding our organization’s digital assets and ensuring the integrity, confidentiality, and availability of our information systems.
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2+ Hands-on experience with Cloud technologies such as Azure, AWS, GCP and Office 365. Cloud platforms – Microsoft Azure, AWS, GCP. Azure, AWS, GCP Certifications. Job Summary: Core functions include issue resolution for end users within the Service Level Agreements time frames, administration of cloud systems/platforms and infrastructure hardware.
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Expertise with cloud-based machine learning platforms such as AWS SageMaker, Azure ML, or GCP AI Platform. Leverage cloud and big data solutions to develop machine learning and artificial intelligence models.
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We are hiring an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes.
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You have sound knowledge of cloud computing concepts & technologies, such as Kubernetes, Kubeflow, OpenStack, AWS, GCP, Azure, Ceph, etc. Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, Hadoop and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud.
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We are seeking a Cloud Security Engineer to join the SynMax team. Cloud Experience: Experience with Google Cloud Platform highly preferred or an equivalent (AWS, Azure) including management and provisioning.
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4+ years of experience building, scaling and operating cloud services in Azure (including Azure Functions, Azure Containers, Azure DevOps pipelines, Github actions, Github Codespaces, and Jupyter Notebooks) AWS, or GCP.
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cloud engineer gcp jobs in Houston, TX
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