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Cloud Infrastructure Emphasis: One of the following certifications or their equivalent or higher is required: AWS Certified Solutions Architect – Associate Google Associate Cloud Architect.
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Insight Global is searching for a Google Cloud Platform (GCP) Architect to join a large retail client out of Irving, TX. This GCP Architect will be a part of the post-transaction retail team responsible for providing technical leadership to recommend cloud strategies for cloud cost optimization and the overall quality of the enterprise cloud environment.
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Or relevant industry certification such as Microsoft Certified Solutions Developer (MCSD), AWS (Amazon Web Services) or GCP (Google Cloud Platform) AWS Certified Solutions Architect.
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Azure/ AWS/ GCP certifications, AWS Machine Learning Specialty, Google Certified Cloud Engineer and Deeplearning.ai certifications on LLMs, prompt engineering. Must know and hands on experience in one of the cloud platforms; Azure/GCP/AWS.
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Google Certified Professional Cloud Architect is preferred but hands-on experience with GCP services using GCP Console is the key. 10+ years of experience in technical solutions implementation, architecture design, evaluation, and investigation in a cloud computing environment preferably Google.
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Certification-level fluency in Cloud IaaS environments such as VMware, AWS, Azure, Google Cloud Platform and OpenStack. This architect role will serve as the vanguard of the “Kubernetes Everywhere” movement.
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In-depth knowledge of cloud computing principles, platforms (e.g., AWS, Azure, Google Cloud), services (e.g., IaaS, PaaS, SaaS), and architectural best practices. Hands-on experience with cloud automation and orchestration tools (e.g., Terraform, Ansible, Kubernetes) and scripting languages (e.g., Python, PowerShell.
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12+ years of experience in Architecting and implementing containerized Microservices, APIs using Java - Spring Boot on On-Prem and Cloud (AWS, Azure and Google Cloud Platform) Good understanding of cloud infrastructures AWS, Azure, Google Cloud Platform.
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Strong understanding of cloud computing concepts and experience with cloud service providers such as AWS, Azure, or Google Cloud Platform. · Hands-on experience as an enterprise infrastructure architect.
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Experience deploying modern data solutions leveraging components like Azure functions, Azure Data Factory, Data Flows, Azure Data Lake, Azure SQL, Azure Synapse, Streaming Analytics or equivalent on another cloud provider such as AWS or Google Cloud.
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This individual will possess a deep understanding of AI principles, Google Cloud Computing, and enterprise architecture. Hands on experience with GCP AI services including Vertex AI, BigQuery ML, Cloud AutoML, and TensorFlow.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, Google Cloud Platform, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications). Experience working with and configuring/managing cloud technologies, microservices, cybersecurity infrastructure including firewalls, IDS/IPS. and SIEM.
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Demonstrated experience working with cloud AI managed services like AWS Bedrock/SageMaker, AWS CloudWhisperer, and integrating large language models like Azure OpenAI, Google Vertex and open-source models.
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At least 5 years of experience creating solutions architectures in a public cloud (AWS, Microsoft Azure, Google Cloud) AWS or equivalent certifications (Cloud Practitioner, Solution Architect-Associate, GCP or Azure.
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google cloud architect jobs in Jersey City, NJ
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