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3-5 years' experience AWS cloud, Azure or Google cloud. Experience With Snowflake Cloud-based Data Warehouse. Integrate on-premise infrastructure with public cloud (AWS, AZURE) infrastructure.
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Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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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.Own and drive extensive technical efforts across multiple teams, ensuring projects are executed seamlessly and meet high standards.
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Our past successes include building chips for all the cloud hyperscalers globally - Amazon, Facebook, Google, Microsoft, Alibaba, Tencent along with enterprise and mobile operators like China Mobile, Cisco, Nokia, Ciena, Reliance Jio, Verizon, AT&AT. We are recognized leaders in the mixed signal, DSP connectivity space, now applying our skills to next generation AI.
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Experience creating solutions using Azure, AWS, or Google Cloud. Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
$76,400 - $151,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong knowledge of cloud platforms (for example: Azure, AWS, and Google Cloud) and their security features. KPMG is currently seeking a Global Security Operations Center (GSOC) Incident Response Manager to join our Global Information Technology Group which is part of KPMG International.
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Our team is a diverse mix of passionate, collaborative and empathetic data industry veterans from Google, Amazon, Meta, Snowflake, SingleStore, Databricks, and the like. Experience with cloud platforms such as AWS, GCP, or Azure.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud. Flexible work from home options available. Familiarity with configuration management tools like Ansible, Puppet, or Chef.
$90,000 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Senior Software Engineer, Infrastructure, Google Cloud Compute. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
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As a Director of Customer Engineering at SADA, you lead a team of Google Cloud Platform (GCP) and Professional Services (PS) technical sellers. This year, SADA was named a Google Cloud Global Partner of the year 2023.
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A strong grasp of core CI/CD guidelinesFamiliarity with cloud infrastructure and platform services (CIPS): Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP.
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Advanced knowledge and hands-on experience with at least one cloud environment (such as AWS, Microsoft Azure Oracle, or Google Cloud) and Infrastructure as Code for deploying Platforms at scale.
$141,000 - $418,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Product Marketing Manager, Developer Marketing, Google Cloud. You will be responsible for key aspects of go-to-market for Google Cloud skilling and learning, own messaging and positioning for audience, and orchestrate marketing execution across campaigns, social media, and technical influence engagement.
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Deep technical experience and working knowledge of open-source vaulting products, AWS, Azure, Google Cloud Platform are a must. We support all families with 12 weeks of paid leave for new birth, adoption, surrogacy, or foster-to-adopt primary caregivers.
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Experience with cloud platforms for data storage and processing (e.g., AWS, Azure, Google Cloud). Role: Data Intern. Knowledge of data visualization tools (e.g., Tableau, Power BI) for reporting and analysis.
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