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Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL. · Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services.
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Responsibilities: Lead the design and implementation of CI/CD pipelines on Azure DevOps, ensuring automated build, test, and deployment processes. Minimum of 5 years of experience in a DevOps role with a strong focus on Azure cloud services and Kubernetes.
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On-Prem/Azure Active Directory, SCCM, Intune Management, Operating System Troubleshooting, Application Support - Expert. Provide onsite/remote end user support on multiple computer platforms: Windows, Macintosh, UNIX, and mobile devices.
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Join our Asset Digitization global function as a Product Developer and take on the exciting challenge of building, configuring and implementing cutting-edge applications. Experience with SCADA systems, IgnitionExperience with Power BI and Microsoft Azure.
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Work on cloud technologies such as Microsoft Azure and Google GCP for keeping applications in service for customers. Experience in implementing a solution for optimizing cost on azure cloud and keeping 99.99% SLA. Experience writing Golang code to booting up VM on cloud services.
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Data Processing - Strong understanding and hands-on knowledge of Tableau, PowerBI, WebMethods (middleware), Hadoop functions and ETL tools (Tableau Prep, Azure Data Factory) Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality.
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Solid experience with Spring framework, Rest API, MongoDB, ElasticSearch, Kubernetes and Docker Cloud Experience (AWS, Google Cloud, Azure) Advanced-level of experience as hands-on Core Java Software Engineer in a distributed/cloud-based product.
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Knowledge of Kubernetes, Docker, and cloud platforms (AWS, GCP, Azure) for scalable, efficient deployment of AI solutions. The team focuses on cutting-edge R&D in areas like speech & audio, music processing, natural language understanding and multimodal deep learning.
$410,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of proven experience with one or more Tier-1 Clouds (AWS, Azure, GCP or OCI) and cloud-native architectures and software. Our focus on building demos, qualifications, and assets will streamline the pre-sales process, ultimately increasing sales and adoption of DGX Cloud.
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Hands-on experience with cloud services like Microsoft Azure and GCP. Hands on expertise in Java, Spring Boot, SQL, NoSQL, React, JavaScript, HTML/CSS. We focus on developing platforms for Data Allowance Management, Data Lineage, Data Catalog, and Data discovery, always keeping developers and their needs at the forefront.
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Experience working in Linux, AWS/Azure/GCP, Kubernetes – Control plane, Auto scaling, orchestration, containerization is a must. Title: Software Engineer (Python, R, Go, Java, C#) Location: Bangalore, Karnataka, IN, 560071 Requisition ID: 127773 Job SummaryMember of a software engineering team involved in development & design of AI Data Platform built on NetApp’s flagship storage operating ONTAP. ONTAP is a feature rich stack with its rich data management capabilities that has tremendous value to our customers and are used in mission critical applications across the world.
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Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP)Domain expertise in the semiconductor industry an advantageNatural language processing (NLP) and text mining skills a plusNo travel requiredBelief in DiversitySynaptics is an Equal Opportunity Employer committed to workforce diversity.
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1+ years of experience with AWS, GCP, Azure, or another cloud service. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Software Engineer. San Francisco and San Jose, California (Hybrid On-Site): $174,900 - $199,700 for Senior Software Engineer.
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Engage with customers to identify and progress opportunities whilst delivering subject matter expertise on Cloud (AWS, Azure, and Google) & Cloud Native Security solutionsEvangelize the security product portfolio to enhance awareness and demand.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. Experience with the SDLC lifecycle & knowledge of relevant tools(Including but not limited to Azure DevOps, Jenkins, git, GitHub, Gitlab, Atlassian products.
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