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The Azure DevOps Engineer is responsible for designing, implementing, and managing the DevOps processes and infrastructure on the Azure platform. 2 years proven experience as a DevOps Engineer with a focus on Microsoft Azure.
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Our services include Office 365, communications tool and services, Microsoft System Center/Endpoint Manager, Intune, Azure Virtual Desktop Infrastructure (VDI) and more. Experience managing Windows server/desktop physical and Virtual environments, Microsoft System Center Config Manager, Intune, Azure Virtual Desktop, third party Azure VDI control planes.
$125,918 - $158,392 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on design and development experience in multiple Data Warehousing, Data Lake and analytics Platforms: Microsoft data and analytics platform (Azure Data Factory, Microsoft SQL Server, Azure SQL Database, Azure SQL Managed Instance, Azure Cosmos DB, Azure Synapse Analytics, Azure Databricks, etc.
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Experience with software architecture and design patterns, microservices architecture, and cloud platforms (e.g., AWS, Azure). As the Full Stack Lead, you will play a critical role in leading the design, development, and implementation of our software applications.
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Experience in utilizing any cloud-based governance solutions, like Open Policy Agent (OPA), Strya-DAS, Immuta, Privacera, Gatekeeper, AWS Data Governance tools, Google Cloud Data Catalog/DataPlex, or Microsoft Azure Purview, to manage and govern access across various cloud environments.
$153,000 - $207,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Sr. Engineer joining this team would handle Azure infrastructure design and implementation of one of our scaling challenges as well as new features. Reporting to the Head of Software, this role will lead the Azure design, infrastructure implementation, and data migrations working with all of engineering to deliver a multi-tenant Butlr solution.
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Drive the development of a comprehensive generative AI SDK, integrating Large Language Models like OpenAI and Google AI with popular programming languages such as Python, Java, c# etc., using platforms like AWS Bedrock or Azure Semantic Kernel or Google's Vertex AI.Own and drive extensive technical efforts across multiple teams, ensuring projects are executed seamlessly and meet high standards.
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Title - Azure Engineer with (AI/Client exp) Knowledge of Azure relevant certifications such as Azure Solutions Architect, Azure AI Engineer. Define standards and create reference implementations pattern for machine learning / AI solution and Azure PaaS.
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Lead Full Stack Engineer - Capital One Software (Remote) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Lead Software Engineer, Back End (Kubernetes, Go, AWS) page is loaded.
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Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). For Senior Data Engineer (III) For Staff Data Engineer (IV) Senior Data Engineer (III) Staff Data Engineer (IV.
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Security certifications such as CISSP, GIAC/GCFA, CCSP, GIAC, OSCP etc., and cloud security certifications such as CCSP and other public cloud certifications (Azure) are desirable. Provide IT Infrastructure support to Mechanical Engineering, Software Development and Commercial Manufacturing Operation teams.
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You have expertise in cloud services like Azure, AWS, and/or GCP (databases, hosting/running RESTful APIs, and security), cloud governance at a scale. You have a strong technical background and a solid foundation in software engineering principles and architecture design.
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At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software EngineerSan Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Software Engineer.
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Microsoft Azure DevOps. We focus on contributing to PwC’s value proposition of “strategy led and technology enabled”, by aligning our Consulting Solutions’ industry focus with the Microsoft technologies such as Dynamics 365, Azure, Power Platform and Power BI.
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Experience with at least one cloud provider solution ( Azure, GCP)Experience working with Databricks. Familiarity in deploying real-time ML systems on Azure Cloud through frameworks such as ONNX, MLEAP , TF Serving etc.
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azure job Title: sr software engineer Company: Crowdstrike in San Francisco, CA
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