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Expertise with the tools and languages we use to automate cloud infrastructure will also prove valuable in making early contributions to the team, specifically Python, Golang, Cloud (Azure or AWS or GCP.
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Cloud specific firewall appliances (AWS, Azure, Google). This role will engineer cloud solutions in Azure, AWS, and Google that leverage the following services. Scripting (Terraform, Python, etc.
$53 - $58 an hourRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Relevant experience with GitHub actions, Terraform (Preferably on Google Cloud), Google Cloud with SDK, Kubernetes deployment automation, OpenShift deployment automation, experience in configuring Jenkins’s pipeline preferably with groovy scripting, maven in Java and spring boot application and docker with expertise on shell scripting and certificate management, knowledge of J2EE and spring boot applications with basic programming skills.
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Knowledge of cloud computing platforms like AWS, Google Cloud, or Azure. Understanding of server-side coding languages, including but not limited to Node.js, Python, Ruby, Java.
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Experience in development & deployment across multiple cloud providers such as Amazon Web Services, Microsoft Azure, Google Cloud, VMWare and OpenStack. Coding experience in languages such as Java, Python, Golang, Node.js, and C/C.
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Experience implementing applications onto Public Cloud (AWS/Azure/Google Cloud Platform). Experience with Java based Monolithic/Microservices (preferred Spring-boot framework) Python, Oracle/ MySQL, and or /PostgreSQL.
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Watch the below videos of us participating at Industry events with the Top companies in Technology at Oracle Cloud world /Oracle Java one (Las vegas) and at Gartner Data Analytics Summit (Florida.
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Familiarity with AWS, Azure or Google Cloud compute. As a Cloud Infrastructure/Site Reliability Engineer, you operate seamlessly between development and operations. You will administer cloud-based environments that support our SaaS / IaaS offerings that are implemented on a microservices, container-based architecture (Kubernetes.
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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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Good Knowledge of GCP services mainly Bigquery, Dataflow, DataPrep, DataProc, DataFusion, Pub/Sub, Cloud Composer. Some coding experience on programming language - Python or Java or NodeJs ( required for creation of data pipelineJAV.
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Cloud Networking: Understanding of cloud networking technologies and services, such as AWS VPC, Azure VNET, and Google Cloud VPC, is becoming increasingly important as more organizations adopt cloud-based solutions.
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Familiarity with databases, Cloud Platforms (e.g., Azure, AWS, or Google), and version control (Git). Proficiency in Python and frameworks like Pandas, Django, or Flask. Our client is seeking a Python Developer to join their team.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Expertise in open source data science technologies such as Python, R, Spark, SQL.
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Minimum of 3 years; experience with one or more of the following: Splunk Phantom, Microsoft Sentinel, Cortex XSOAR, Google Chronicle (previously Siemplify), or other automation tools Minimum of 3 years’ experience with developing scripts and integration in other development scripting and languages (e.g., Python, PowerShell, Java, JavaScript.
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Practical experience with at least one of Microsoft Azure, Google Cloud, or AWS. We work closely with Amazon, Microsoft, Google and other world-class cloud partners to optimise Ubuntu for their infrastructure.
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