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Intimately familiar with Azure and AWS cloud technologies. Background in Tableau and other reporting tools (e.g., on cloud providers, SmartSheet) to generate and automate reports. Leverage intimate familiarity to cloud technologies in architecting components, infrastructure, and tools.
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Familiarity with at least one of the following cloud providers: Amazon Web Services (AWS), Google Cloud Compute (GCP), or Microsoft Azure. Familiarity with Amazon Web Services (AWS), Kubernetes, Terraform, and infrastructure as code (IaC) best practices.
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Experience with infrastructure in any public cloud (AWS, GCP, Azure) with Kubernetes. Senior Cloud Platform Engineer. Gemini is a New York trust company that is subject to the capital reserve requirements, cybersecurity requirements, and banking compliance standards set forth by the New York State Department of Financial Services and the New York Banking Law. Gemini was founded in 2014 by twin brothers Cameron and Tyler Winklevoss to empower the individual through crypto.
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We at Synergistic understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, google, Paypal, Western Union, Client, visa, Walmart lab s etc to name a few.
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Hands-on experience in building large scale data processing and retrieval systems and pipelines: Apache Spark, Apache Beam, Google Cloud Dataflow, AWS Data Pipeline, Faiss, etc. Hands-on experience in building large scale data processing and retrieval systems and pipelines: Apache Spark, Apache Beam, Google Cloud Dataflow, AWS Data Pipeline, Faiss, etc.
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Assist sales by providing technical depth on specific technologies during pre-sales engagements. Our clients count on us to deliver excellence and seek our guidance on business and technology strategy, technology modernization, and cloud transformation initiatives.
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2+ years in developing cloud-native applications using AWS Lambda, ECS or Kubernetes or equivalent Azure technologies. Build highly configurable IaC templates using CloudFormation, AWS CDK or Terraform.
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Analytics focused services in AWS or Azure (Redshift, Elasticsearch, Kafka, Sagemaker, EMR) Platforms – AWS, Azure, On-Prem, [IoT/ICS, GCP] Work in an agile environment with multidisciplinary teams, including software engineers, cloud engineers, machine learning engineers, data scientists/domain experts, UX/UI, front-end developers, scrums masters, product owners, and most importantly, USERS.
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Patching with SSM System Manager in AWS, using Cloud Configuration tools, managing at a global policy levels. Running Cloud Foundations, AWS/Azure core infra, mainly focused on policy/governance, self service automation, building DevOps pipelines for AWS/and Azure to automatically sping up accounts and prescriptions.
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Team builds on modern Kubernetes centered microservices and cloud native platform using Java, Spring, Golang, Python, C. The Cyber-Engineering and Security Automation team is responsible to build and operate security services across the domains of cybersecurity like Product Security Engineering, Identity and Access Engineering, Governance and Risk Engineering, Privacy Engineering, Vulnerability Management detection and remediation automation, Cloud security engineering, 3rd party risk, and Detection & Response automation.
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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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Experience in Public cloud, including building platforms in AWS, GCP, or Azure through Infrastructure-as-Code (IaC). Our Security Software Engineering team builds and operates highly scalable, fault-tolerant, distributed systems to deliver cloud-scale security software services.
$204,400 - $296,400 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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SedonaDB and Apache Spark are built in Java and Scala, with deeply optimized Python wrappers and SDKs, and are deployed on cloud-based Kubernetes environments. The ideal candidate has made impactful contributions to open-source projects such as Apache Spark, Apache Iceberg, Apache Hadoop, Apache Hive, DeltaLake, or Trino, and has a passion for open-source projects and communities.
$150Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a Sr. Data Engineer at SADA, you will work collaboratively with architects and other engineers to recommend, prototype, build and debug data infrastructures on Google Cloud Platform (GCP). As a Sr. Cloud Infrastructure Engineer at SADA, you will work collaboratively to deliver high quality infrastructure projects on Google Cloud Platform for our cloud and hybrid-cloud customers.
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At least 2 years of experience with Google Cloud and 3 + years of experiences with either AWS or Azure. The ideal candidate will have a solid understanding of cloud computing and technology systems, as well.
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