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You have experience with one or more of cloud data platforms (e.g. Snowflake, Databricks, AWS Redshift, Google BigQuery, Azure etc.) You have an engineering background with familiarity of trends in cloud native, and agile tooling applications.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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EInfochips has strategic technology partnerships with Qualcomm, NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few. eInfochips acts as a catalyst to Arrow’s Sensor-to-Sunset initiative and offers complete edge-to-cloud capabilities for its clients.
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Proficiency with Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, and experience with On-Prem and Colocation Service hosting environments. Collaborate with other team members in the design and build of our Cloud based AI/ML platform solutions, which includes Databricks Spark, Weaviate Vector Databases, and supporting our hosted Cloud GPU Compute services running containerized PyTorch on large scale Kubernetes.
$285,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms (e.g., AWS, Google Cloud) for training and deployment. Bachelor’s degree in Computer Science, Data Science, Mechanical Engineering, or a related field.
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Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure. Our global team of 30 experts in computer graphics, AI, and art includes alumni from MIT and Harvard, as well as veterans from Nvidia, Microsoft, and Google.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Use tools like Terraform or CloudFormation to define and deploy infrastructure resources across multiple cloud providers such as AWS, Azure, and Google Cloud Platform. 2) Expertise in System Design and Architecture: Assist in the design and architect cloud infrastructure solutions using Apache Spark for distributed data processing and analytics.
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The ideal candidate will be able to design and implement scalable and secure Azure cloud solutions using the Databricks ML platform. Experience configuring Microservices using Docker, and Kubernetes on Azure Databricks.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Experience with public cloud service providers (e.g. Amazon AWS, Google GCP, Microsoft Azure). Design, architect, and implement defensive security controls across Palantir’s multi-cloud multi-tenant SaaS infrastructure based on Kubernetes, OpenShift and several other popular open-source technologies.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with Cloud Computing Services such as Google GCP and Microsoft Azure, as well as Distributed Storage Systems like Hive and Elastic Search a plus. Create and deploy large-scale, containerized applications using Docker and Kubernetes in public clouds like Google GCP and Microsoft Azure.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in Data Migration from legacy systems into Oracle EBS/Oracle Cloud. The Technical Analyst, Oracle Cloud role will be responsible for executing technical work/workstreams related but not limited to items such as Data Migration, Integration (both inbound and outbound), PaaS Extensions and Reporting in the Oracle Fusion Cloud Applications Platform supporting the full suite of Oracle Cloud Manufacturing, Supply Chain.
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You will collaborate with the world-class scientists and engineers in Waymo, Google, Deepmind and will be pleasantly challenged with the state-of- art-model compression technologies. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Senior Software Engineering Manager, AI/Machine Learning, Google Workspace. Google is proud to be an equal opportunity and affirmative action employer. Our consumer products and cloud platforms are giving millions of users at homes, businesses, universities and nonprofits around the world the tools that shape their web experience.
$337,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Manages Microsoft cloud infrastructure and applications, such as Azure infrastructure, O365 (Teams, OneDrive, Intune, Conditional Assess, etc. Knowledge and experience with Azure infrastructure, Office 365 ecosystem, Intune, Teams, and cloud technologies.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure) and data security in a healthcare setting. In the role of Senior Software Engineer, you will be instrumental in crafting innovative software solutions that process images from Whole Slide Image Scanners.
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Exposure on Azure or Google Cloud and performing Orchestration, deployments & CI/CD using Ansible & Terraform. Cloud experience: GCP or Azure Cloud Platform ( micro-services architectures (REST), event-based architecture (Kafka, JMS, etc.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago
equal google cloud jobs Title: senior engineering in Mountain View, CA
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As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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