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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud Platform in particular. Experience with DevOps (Jenkins, Ansible, Terraform) and Containerization (Kuberneters, Docker) a plus.
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The Lead Cloud Engineer will be a Technical Subject Matter Expert / Individual Contributor accountable for leading the organizational transformation in onboarding various data consumption and business intelligence tools into Google Cloud.
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Database Query Engine (QA), Automation Infrastructure and Quality Engineering (AIQ), Cloud Platform & Deployment Engineering, Developer Productivity Engineering (DPE) Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users.
InternExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions.
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2+ years of experience with AWS, GCP, Azure, or another cloud service. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Expertise in Kubernetes, OpenShift, Docker, Container Networking, and Cloud Native Platform/ Applications. Strong Networking Fundamentals along with Converged Infra (CI)/Hyper Converged Infa (HCI) Management Certification along with hands-on experience with Amazon Kubernetes Service (AKS), Amazon EKS, Google Kubernetes Engine (GKE), Rancher.
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Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-based Linux deployments. Solid understanding of Linux server virtualization and containerization technologies, such as VMware, KVM, and Docker.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of containerization and orchestration technologies (e.g., Docker, Kubernetes). Familiarity with web frameworks (e.g., Django, Spring, Ruby on Rails.
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Familiarity with HSM and KMS in the cloud (AWS CloudHSM, AWS KMS, Google KMS, Azure KeyVault, IBM KeyProtect, etc.) Experience with Linux, Kubernetes, Docker, Python, or other scripting languages.
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Join us to do the best work of your career and make a profound social impact as a Senior Principal Engineer - Site Reliability Engineering on our Service Delivery Team in Austin, Texas. Hands on experience working in an infrastructure managed services environment, supporting complex engineered solution in production with Artificial Intelligence/Machine Learning/High Performance Compute Systems and Platforms, Converged/ Hyper-Converged infrastructure along with fluency in AI/ML pipelines, Nvidia GPU optimization, InfiniBand networking, Machine Learning operating systems such as cnvrg.io, Compute Orchestration Platform such as runai etc.
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Experience with relational databases (e.g., MySQL, PostgreSQL) and writing efficient SQL queries. Familiarity with NoSQL databases (e.g., MongoDB, Cassandra). Proficiency in at least one backend programming language such as Python, Java, or Ruby.
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At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Experience or familiarity with cloud platforms like Oracle Cloud Infrastructure, AWS, Google Cloud, Azure. Expertise and/or working knowledge of Cloud Native Environment (CNE) Administration including but not limited to Kubernetes, Docker or equivalent along with Automation technologies such as chef and puppet.
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