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Experience with cloud platforms (e.g., AWS, Azure, GCP). We are seeking a highly skilled and experienced Technical Lead in the field of Artificial Intelligence (AI) and Machine Learning (ML) to join our dynamic and innovative team.
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Familiar with Microsoft Azure Cloud Adoption framework including landing zone using Microsoft architectural framework. Along with a background in Microsoft technologies with a network and security focus, the Cloud Engineer will need strong organizational skills to fully understand, plan, and execute projects with numerous stakeholders across multiple teams.
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Icertis is continuing to generate significant demand in the US public sector and the US GOV CloudOps team is at the forefront of defining, implementing and continuously monitoring cloud security strategies to meet the rigorous federal security compliance requirements, protect our customer’s assets, reduce risk, and to empower Icertis’ federal sales team.
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Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.
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Nice to Have Hands-on experience with cloud technology stack (AWS, GCP or Azure) Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster.
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We offer a variety of managed services, including end user support, cloud migrations, disaster recovery and business continuity services and strategic planning. Technicalexpertise: A deep understanding of IT infrastructure, network security,cloud services, and data management, along with the ability to staycurrent with industry trends and emerging technologies.
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You will also frequently partner with product architects and SRE engineers to provide security guidance and drive adoption of cloud security initiatives. Experience with AWS cloud platforms with understanding of their service catalogs, security offerings and automation opportunities.
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Other leading Cloud based SaaS financial application implementation experience: (Oracle E-Business Suite, NetSuite, Infor, Unit 4, PeopleSoft, Oracle Cloud ERP, SAP, Lawson, etc. This individual will be part of a team of advisory professionals focused on cloud-based data-reporting operations that integrate and optimize the essential corporate functions of finance, analytics, planning and HR.For many of our clients, successfully getting their data operations into cloud environments is a major focus.
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You'll be at the forefront of designing, developing, and maintaining models whose output will be directly consumed by enterprises to improve their cloud security and identity posture. Strategic Solution Design: Own the vision around all data science product components or features, maintaining alignment with the overall product strategy in partnership with threat research and data engineering.
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As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development – from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud.
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Experience with Tableau, Snowflake and MS Azure cloud. In collaboration with EDW and Business Intelligence Teams, the Data Quality Analyst will design, review, and refine data quality reports and alerts and take actions to remedy issues detected.
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Partner with customers to implement and operationalize their Cloud Security change management, governance, and skills programs; as they pertain to implementation of the Netskope platform (for example, SOC integration, building in-house capability etc.
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Sold network and data center solutions like cloud computing, security and call center solutions, and CPE offerings. Sold network and data center solutions like cloud computing, security and call center solutions, and CPE offerings.
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Database Query Engine (QA), Automation Infrastructure and Quality Engineering (AIQ), Cloud Platform & Deployment Engineering, Developer Productivity Engineering (DPE) Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud Platform in particular.
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Strong public cloud infrastructure background, Oracle, AWS, MS Azure, Google, OpenStack variants. 5 years Experience with supporting Oracle Cloud/e-business HCM, Payroll, Supply Chain and/or Finance is highly desired.
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cloud job in Camas, WA
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