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We have an immediate need for a contract DevOps AWS Cloud Engineer to join a premier management consulting firm. The DevOps AWS Cloud Engineer will play a crucial role in designing, implementing, and maintaining the infrastructure and deployment pipelines on the AWS cloud platform.
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In-depth knowledge of Google Cloud Platform services, including Compute Engine, Cloud Storage, App Engine, Kubernetes Engine, BigQuery, and Dataflow. - Relevant certifications like Google Cloud Certified - Professional Cloud Architect or similar are highly desired.
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AWS, Azure or Google Cloud Network Specialist. AWS, Azure or Google Cloud Architect. Troubleshoot advanced TCP/IP, DHCP, DNS protocol issues; coach lower level engineer in the proper process and procedure to quickly resolve common or uncommon issues.
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Experience with monitoring tools like Nagios, Icinga, SolarWinds, New Relic, Grafana Solid scripting skills; experience with Shell, Bash, Ansible, Python, Powershell, Ruby. Experience in setting up CI/CD pipelines (Gitlab or AzureDevops) A willingness to learn on the job and take on tasks as needed Additional Desired Experience: Certifications such as AWS Certified DevOps Engineer or Google Professional Cloud DevOps Engineer are a plus.
$140,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a DevSecOps Engineer specializing in Azure Cloud, you will be responsible for designing, implementing and maintaining secure and scalable software systems and infrastructure. Experience with a wide range of Azure products and services, in domains such as Analytics, Data Warehousing, Databases, DevOps and Cloud Management toolset, Security, Storage etc.
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As a Field Solutions Developer II for Generative AI, you will support the Google Cloud Sales organization. You will construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to a diverse clientele ranging from early stage startups to large-scale corporations.
$140,000 - $209,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise with cloud platforms and services (AWS, Azure, Google Cloud) and advanced cloud architecture design. The Senior DevOps Engineer will play a pivotal role in enhancing the efficiency, reliability, and scalability of our software development and infrastructure operations.
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Google Cloud Professional Certification(s), such as Cloud Architect, Data Engineer, ML Engineer, DevOps Engineer, etc. A career in our Cloud and Network Architecture practice, within Cloud Computing and Networking services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google, HP, Microsoft, Oracle, SAP, and other cloud based platforms that bring new and innovative services to some of the largest companies.
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Our team includes experts from Meta, Apple, Amazon, Google, Microsoft, Twitter, Roblox, Samsung, EA, Riot, Tinder, Intel, Twitch, and more. Senior / Lead Cloud Data Base Administrator (Cloud DBA.
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Experience in modern AWS & and Azure cloud technologies (Kubernetes service, IoT, Digital Twins, Cosmos, etc.) Deep experience in AGILE/Lean development methodologies, DevOps, and Cloud-based Application Development and Deployment.
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The DevOps Infrastructure Engineer reports to the Director of Technical Operations, and is responsible for creating, maintaining, and provisioning datacenter and cloud resources using Infrastructure as Code principles.
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Synechrons progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.
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Once training is completed, you can be considered for several diverse roles, such as Junior DevOps, Production Support, Support Analyst, Junior Software Engineer, or IT Operations. Want to start your career as a DevOps Engineer or Production Support Analyst.
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Microsoft Azure, Google Cloud Platform, or RPA tools is preferred. Specifically, the Data Engineer II – Enterprise Analytics is tasked with crafting dependable ETL processes and adaptable data pipelines to underpin the analytics and business intelligence ecosystem, encompassing modeling and machine learning, visualizations, reports, cubes, applications, and more.
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Cloud Infrastructure: Virtual Machines, Azure Database, and storage technologies (Storage Accounts, SQL Server, CosmosDB), Virtual Networks, Azure Site Recovery, Traffic Manager, Azure Automation, ARM Templates, Azure Load balancer, API Gateway and Azure AD.
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