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Core systems and tools you may be working with: Salesforce, Jira, Confluence, GSuite, Netsuite, Snowflake, GCP, AWS, plus multiple other peripheral software tools in these ecosystems. 5 years of experience working with and handling cloud partners, Databricks and Snowflake a plus.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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2 or more professional certifications (SAFe PM/PO, CISSP, GIAC, CISM, CCSP, AWS Cloud Practitioner, AWS Security) As a Product Owner supporting the Cyber Intelligence Service, you will be accountable for contributing to and delivering upon the strategic agenda for our core cyber products to drive meaningful progress for our customers and our business.
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You believe that a core component of security's role is to enable the business, not just to secure it, and the solutions you bring to life are aligned to the needs of our developer community, customers, and business partners.
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Comfortable working in the cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark) Expertise with core data science languages (predominantly with Python, and nice to have R & Scala), experience working with Snowflake and other different database systems (such as SQL, NoSQL.
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Certified AWS Cloud Practitioner is strongly preferred. Leveraging Java, Spring Boot, Python, SQL and shell scripting as core programming languages and frameworks for development. We're driving the company's digital transformation and modernization initiatives and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.
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AWS Cloud Computing: A thorough understanding of AWS Cloud Computing is essential for an AWS IoT Core professional. Cloud Security: Should have a good understanding of cloud security concepts, including encryption, access control, and network security.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Qualified candidates must have a Bachelors Degree with preference to candidates with a Masters Degree in Library Science (MLS) or Library Information Science (MLIS) with a core focus in Information Organization and Digital Information.
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Strong cross-functional experience and extensive domain knowledge of Oracle Cloud SCM modules (Inventory Management, Cost Management, Procurement Management, Demand Planning, Supply Planning, Product Information Management, Warehouse Management) and good understanding of supporting ERP Manufacturing & Quality Management Cloud modules.
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Building off of this core technology, Volta has created a product that streamlines DNA sequencing sample prep. Familiarity with modern cloud technologies and security (AWS, Azure, GCP, Docker, etc.
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In this role, which reports directly to the Chief Technology Officer, you’ll lead our global Product and Software Security organization, which partners with product development teams, our core Cloud Ops / Infrastructure teams, and our customers.
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Drive education of the broader team on core concepts around cloud computing, big data cloud platforms and architecture frameworks. Develop an understanding of our existing Catastrophe Modeling application inventory and develop a roadmap to transform disparate applications into an integrated portfolio leveraging leading edge cloud architectures.
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Who we are looking for We are currently looking for a talented Software Quality Engineer to perform manual testing for SQA efforts in Agile team(s) working to enhance State Street’s core asset servicing platform as well as run automation regression tests.
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Our primary focus is delivering the core infrastructure and differentiator features powering Cloud Interconnect, and various Horizontal programs. The Cloud Interconnect team is part of Google Cloud Platform and we develop and manage services that allows customers to connect their on-premises network to GCP through a fast, reliable, low-latency fiber link.
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The Machine Learning practice designs and delivers innovative Machine Learning solutions as part of intelligent products on Amazon Web Services, Azure and Google Cloud using core cloud data science tools, MLOps components, and other big data related technologies.
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5+ years of experience in in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.) 3+ years of Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker.
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