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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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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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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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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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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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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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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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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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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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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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Familiarity with other cloud platforms (e.g., Azure, Google Cloud Platform, Snowflake, ). Architect cloud solutions within the context of broader enterprise architecture, ensuring alignment with industry standards and security best practices.
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Experience in native CSP orchestration stacks (e.g., Azure ARM templates, AWS CloudFormation, Google Cloud Deployment Manager) Experience with on-premises based Private Cloud and Public Cloud platforms such as Azure, AWS, and Google Cloud.
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