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Minimum 1-2 years of work experience in addition to internship with MLOps lifecycle management, workflow platforms such as MLflow, Docker and containerization, Kubernetes and container orchestration platforms, Python, Pyspark or Scala development, Azure, AWS, Google Cloud or other cloud computing platforms.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
$121,000 - $190,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Quantum computing has the potential to impact every area of human society for the better. This is an opportunity for an experienced software engineer with an emerging or existing interest in quantum computing to bring their diverse background and talents into the future.
$175,954 - $230,369 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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An investment management firm is looking for a strong AWS Cloud Engineer to join their Cloud Engineering & Architecture team. · AWS Cloud Architect Associate certification or equivalent.
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Join Apple Services Engineering Cloud Service Infrastructure team, as a Site Reliability Engineer, to help support and scale cloud services for millions of Apple users. Hardware bootstrap and associated security (PXE, BIOS, TPM, secure boot, trusted computing.
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Job Description: Senior Azure Cloud Architect and Windows System Administrator proficient in Windows, Azure Cloud, iOS, Android, and Microsoft Office 365 Intune. Job Summary: Senior Azure Cloud Architect and Windows System Administrator with mobile device management, mobile application management, mobile app deployment, and Windows Infrastructure deployment.
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We’re looking for a strong Senior Cloud Security Engineer with a deep understanding of securing infrastructure and services at scale in a cloud-native world to help us execute on this vision.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Workout hardware solutions for cloud products, including computing, storage, database, bigdata, edge computing etc., based on deep analysis of cloud product design and operational data.
$177,688 - $266,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Cloud Security Risk and Insights team is responsible for discovering, tracking and enabling the business to remediate the biggest security risks we face across Block's cloud ecosystems.
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Knowledge and use of one or more programming language: e.g., Python, Scala, Java. Experience in utilizing any cloud-based governance solutions, like Open Policy Agent (OPA), Strya-DAS, Immuta, Privacera, Gatekeeper, AWS Data Governance tools, Google Cloud Data Catalog/DataPlex, or Microsoft Azure Purview, to manage and govern access across various cloud environments.
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Special Skill Requirements : (1) Distributed Systems; (2) Data Engineering; (3) Cloud computing platforms; (4) Terraform; (5) Java; (6) Python; (7) Spring; (8) Databricks; (9) Azure Synapse; (10) Azure Eventhubs; (11) Microsoft PowerBI; (12) Azure service bus; (13) New Relic and Azure Application Insights.
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The Cloud Engineer is responsible for designing, implementing, and supporting the foundational Morgan Stanley AWS infrastructure including but not limited to AWS organizations/accounts, Landing Zone, networking, security, identity, and targeted business applications/integrations.
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Data Platform architecture, system design, and platform engineering of Azure cloud infrastructure, ADLS Gen2, ADF, Event Hub, Kafka, Databricks, SQL Server and Snowflake. Working with our business operations and Foundation strategy program partners, the team supports the management of on-premises and cloud data infrastructure, data security and access controls and EDS technology stack and roadmaps.
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Design, implement, and maintain data infrastructure using technologies such as Spark, Airflow, dbt, and Google Cloud Platform (GCP) services like Cloud Composer, Pub/Sub, and BigQuery and/or comparable AWS services.
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Experience in working on Event-driven cloud platform for cloud services and apps, Data integration for building and managing pipeline, Data warehouse running on serverless infrastructure, Workflow orchestration using Azure Cloud Data Engineering components Databricks, Synapse, etc.
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cloud computing jobs Company: Amazon Development Center U S Inc B02 in Seattle, WA
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