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Familiarity with serverless technology like AWS, Google Cloud Platform, or other cloud offerings. Experience with infrastructure as code tools like Terraform. Familiarity with serverless technology like AWS, Google Cloud Platform, or other cloud offerings.
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Hands-on experience managing GCP key components like Google Kubernetes Engine (GKE), Cloud Run, VPC, Pub/Sub Cloud Monitoring, deployment manager and Compute engine. Title: Google Cloud Engineer.
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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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Creation and maintenance of infrastructure-as-code for cloud, on-prem, and hybrid environments using tools such as Terraform, CloudFormation, Azure Resource Manager, Helm, and Google Cloud Deployment Manager.
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Minimum 3 years experience of hands-on experience using at least one of IaC software tools (CloudFormation, Terraform, Azure Resource Manager, GCP Cloud Deployment Manager etc.) Certification(s) in using IaC software tools (CloudFormation, Terraform, Azure Resource Manager, GCP Cloud Deployment Manager etc.
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Certifications: AWS Certified DevOps, Azure Administrator / Azure DevOps, Google Cloud Engineer; Experience with cloud solutions (Azure, AWS, GCP), Azure AD, Azure WVD, ARM templates, Kubernetes, Containers, Terraform, Azure DevOps, Python, React (5+ years.
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Must-have skills: DevOPs, DevSecOPs roles, Cloud Service Providers (AWS, DevOps tools such as Git OR Jenkins OR Ansible OR Terraform), Infrastructure as Code (Terraform, Java OR Java Spring Boot OR Python OR C/C, APIs to query RESTful services, Python, Go, or Bash, Kubernetes, Docker, and Rancher, CI/CD, GitLab, SAST, DAST, IAST, MAST; Linux, Hashicorp.
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Your primary responsibility will be to construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to a diverse clientele ranging from early stage startups to prominent Fortune 500 companies.
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Develop, implement, and optimize the SRE strategy across various cloud platforms (AWS, Azure, GCP); Experience managing Cloud SRE teams across AWS, Azure, and GCP (5+ years); Cloud Reliability Engineering Manager (remote.
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You will work with your scrum teams product owner to define solutionsfor our developing business needsand oversee the completion of key initiatives. As a SeniorBackendEngineer at RBI, you willdevelop NodeJS applicationsrunning on AWS Lambda forour consumer applications across all our brands in multiple regions, whichservetens ofmillionsof users and process hundreds of thousands of daily orders.
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C loud-based systems and infrastructure within a specific cloud platform (e.g., AWS, Azure, Google Cloud). Infrastructure Deployment: Implement cloud infrastructure using infrastruc ture-as-code tools (e.g., Terraform, CloudFormation.
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Strong proficiency in cloud platforms (e.g., Azure, AWS, Google Cloud), preferably Azure certified. Work with databases like MySQL, PostgreSQL, MongoDB, and MS SQL to ensure efficient and reliable data storage in the cloud.
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Skilled in Cloud/PaaS Environments (e.g. AWS, Azure, Google Cloud Compute)? Right-sizing skills for proper scaling and performanceExpertise in leveraging AWS RDS or equivalent cloud DB PaaS (e.g. Azure, Google.
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Strong knowledge in system management languages (e.g. Chef, Terraform, Ansible)? Embodies a DevOps/Site Reliability Engineering culture with continuous delivery, cloud,and fully automated infrastructure as code.
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Develop and maintain infrastructure as code (IaC) templates for cloud environments such as AWS, Azure, and Google Cloud Platform. Experience with DevOps tools such as Git, Jenkins, Ansible, and Terraform.
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google cloud terraform jobs in Doral, FL
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