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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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At least 4 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) 3+ years of experience with Container orchestration services including Docker or Kubernetes.
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At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) 2+ years of experience with Terraform or Ansible. 2+ years of experience with container orchestration services including Docker or Kubernetes.
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Proficiency with CI/CD tools (i.e., Jenkins, GitLab CI/CD), configuration management (i.e., Ansible, Puppet), and containerization platforms (i.e., Docker, Kubernetes). Expertise in cloud architecture/platforms (i.e., AWS, Azure, GCP), Azure Cloud products (i.e.: Monitor, Databricks, Data Factory, Data Lake, Function, Serverless/Managed Compute/SQL, Key Vault, Sentinel, VMware, etc.
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Four (4) years of work experience in building containers using Docker/CRI-O, managing container orchestration systems (Kubernetes) and hands-on experience with Platform-as-a-Service offerings of Kubernetes (OpenShift, Azure Kubernetes Service, or Google Kubernetes Engine.
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Experience with DevOps (Jenkins, Ansible, Terraform) and Containerization (Kuberneters, Docker) a plus. Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud Platform in particular.
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3+ years of experience deploying servers and applications using automated deployment tools such as AzureDevOps, Ansible, Chef, or Puppet. 1+ years of experience implementing and supporting cloud-based infrastructure and services (e.g., Azure,AWS, GCP.
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Database Query Engine (QA), Automation Infrastructure and Quality Engineering (AIQ), Cloud Platform & Deployment Engineering, Developer Productivity Engineering (DPE) Experience building automation frameworks and infrastructure to improve efficient of development workflow.
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Experience with virtualization such as VMware ESXi, any public cloud (AWS, GCP, Azure), Docker and/or Kubernetes Must have hands-on experience in supporting and managing Google Workspace and Office 365 Knowledge of Identity Management (IAM/PAM) concepts.
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Understanding of database internals, large-scale data processing, and data warehouse design. Stuff that matters: treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag and much more.
InternExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. 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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Expertise with Git and platforms such as Atlassian BitBucket / GitHub Enterprise / Azure DevOps Server. Experience with Container Technologies – Docker, Kubernetes, OpenShift. Experience with developing automation using tools like Ansible and Terraform.
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Skilled in the following tools: YAML, Helm, Ansible, IaC – Terraform Enterprise OpenShift. 3 years working with container-based technologies such as Docker, OpenShift, and Kubernetes. Cloud Architect Certification (GCP, AWS, Azure.
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Experience with automation and configuration management tools (e.g., Ansible, Terraform). Proficient in containerization and orchestration tools (e.g., Docker, Kubernetes). Strong expertise in cloud platforms (e.g., AWS, Azure, or GCP.
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Cloud certifications (AWS Certified Solutions Architect, Azure Solutions Architect) preferred. Expertise in cloud architecture, infrastructure as code (Terraform, Ansible), and automation tools.
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