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Cloud deployment of Big-data solutions (e.g. AWS, HDI, Google Cloud) This new data layer serves data to large-scale analytics and AI in any cloud across clusters, regions, clouds, and countries, providing simplified data access to files and objects.
ExpandApply NowActive JobUpdated 14 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. Strong experience in Google Android stack, expertise in Kotlin, Sensor Hub communication.
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5+ years of Google Cloud Platform (GCP) experience. Founded in 2014, Freenome has ~500 employees and more than $1.1B in funding from key investors, such as the American Cancer Society, Andreessen Horowitz, Anthem Blue Cross, Bain Capital, Colorectal Cancer Alliance, DCVC, Fidelity, Google Ventures, Kaiser Permanente, Novartis, Perceptive Advisors, RA Capital, Roche, Sands Capital, T. Rowe Price, and Verily.
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Help maintain our production infrastructure within Google Cloud, refining our scripts and procedures for testing, monitoring, and deployment automation. You are 3+ years of experience creating and maintaining infrastructure at scale, on top of AWS or Google Cloud.
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What makes you a strong fit: Experience working with data processing pipelines for training in the cloud (AWS, Azure, Google Cloud, etc.) About the role We are looking for a talented ML Infrastructure engineer to join the Autonomy team and help build state-of-the-art model training, evaluation, and deployment pipelines to aid in the development of the perception modules of our self-driving vehicles.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Strong technical background and knowledge of network and systems security, system and network configuration, and application security as well as working with server technologies, cloud-based SaaS applications, and IaaS platforms such as AWS, Azure, and Google Cloud.
$110,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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. Drive the technical design for how we extend our Cloud based AI/ML platform to successfully encompass our current Cloud based Databricks Ray on Spark, Weaviate Vector Databases, and Containerized Ray on Kubernetes with a workflow that extends to running pre-training, AI training, fine tuning, and inference in the hosted Cloud GPU Compute services.
$241,000 - $362,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Twenty/Twenty Therapeutics was formed in August 2020 as a joint venture between Verily (the life sciences arm of Google/Alphabet) and Santen (a leading global ophthalmic company). Experience with developing applications for the cloud (AWS or GCP.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Our team includes experts from Meta, Apple, Amazon, Google, Microsoft, Twitter, Roblox, Samsung, EA, Riot, Tinder, Intel, Twitch, and more. 6+ years of experience as a DevOps engineer, Site Reliability Engineer, Cloud Infrastructure or backend engineering.
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Active contributor to one or more PAAS platforms software such as, Snowflake, Databricks, Confluent, Google BigQuery, Spanner, Redshift, Aurora, Cosmos DB, Redis, MongoDB, ElasticCloud, CockroachDB, Yugabyte, Hashicorp, etc.
$150,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services. Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services.
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Strong experience with on-premises and cloud networking platforms (e.g., Cisco, Juniper, AWS, Azure, Google Cloud) In-depth knowledge of network protocols, routing (including BGP, OSPF), switching, firewall technologies, load balancing (F5/A10 and Cloud based load balancer), and VPN technologies.
$160,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Experience with serverless computing technologies such as AWS Lambda and Google Cloud Functions/Google Cloud Run. Experience with SQL database technologies such as MySQL,Google BigQuery, and Google Spanner.
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Familiarity with Microsoft Azure, AWS, or Google Cloud/Vertex AI will be a bonus. Familiarity with big data processing and cloud computing will be critical to succeed in this environment.
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