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Responsible for design, development, testing, implementation and support of SAP S/4HANA security roles and FIORI roles, across all SAP landscapes including the Cloud based applications that are interacting with the core system.
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Experienced in Load balancers, IPS/IDS, Routers, Firewall products in multi-threading / multi-core / fault tolerant real-time embedded platforms. Offered as a scalable SaaS platform through the world's largest security cloud, it replaces legacy network security solutions, preventing advanced attacks and data loss with a comprehensive zero trust approach.
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This role is essential for establishing and enhancing relationships with strategic partners, including Nvidia, Supermicro, Oracle Cloud, AWS, Azure, GCP, and major server vendors and resellers.
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Hands-on experience with other tools such as Salesforce Sales Cloud, Salesforce Marketing Cloud, Google Analytics, Adobe Analytics, social media analytics tools for Meta, LinkedIn, etc. Work with different teams and data sources to create an actionable and accurate “single source of truth” by utilizing data visualization tools such as Tableau, Power BI and Looker.
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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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Comfortable operating in cloud-based technologies such as AWS, Databricks, Snowflake, dbt. Comfortable operating in cloud-based technologies such as AWS, Databricks, Snowflake, dbt. Proficiency in SQL and programming languages such as Python and Java, with experience in big data technologies like Hadoop, Spark, and Databricks.
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Shape next generation mission applications like autonomous navigation, distributed sensing, alternative sensing and sensor fusion, proliferated low earth orbit (pLEO) space systems, model-based system engineering, cloud-based software as a service, and swarming vehicles.
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The Senior Load Balancer Engineer will possess in-depth knowledge of F5 VIPRION LTM, GTM systems; virtual F5 VIPRION LTM/GTMs, migration from physical to virtual F5, or other cloud-based load-balancers; VMware ARVI located at the various cloud providers, such as AWS, MS Azure, Google Cloud, IBM Cloud; global load balancing; local load balancing; SSL acceleration; HTTP compression/caching; and DNS.
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What you will do Drive pipeline generation and acquisition strategy for our core product suites in international markets. As a growth manager, you’ll own a slice of the pipeline numbers and the growth infrastructure for our core product suites internationally.
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Based in San Francisco, CA, Rippling has raised $1.2B from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.
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Excellent problem-solving and trouble-shooting skills and debugging in cloud environments and/or SaaS products. About this Role As Lead member of a core product engineering team., you will contribute major features that will span across the entire tech stack and will build exciting new customer-facing software features and capabilities.
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Job Purpose Senior Product Marketing Manager will work closely with the Head of SaaS Product Marketing of the cloud business unit to develop positioning, “go-to-market” strategy, and sales tools for our Altium 365 electronics development platform and corresponding applications and integrations.
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AI & cloud compute, electric-car power electronics, and 5G/6G wireless. 32 bit MCU platform, preferably STM32 family and code composer. Debug and test embedded software and systems on the bench, at the dyno and in the field.
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Previous experience as a DevOps/DevSecOps Engineer supporting applications and platforms running in private or public cloud (such as Rancher, Anthos, AWS, GCP, VMWare). Experience with containers, enterprise container orchestration, and related tools such as Docker, Rancher, Kubernetes, and public cloud container services.
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Experience building and operating large scale distributed systems on a cloud platform like GCP, AWS, Azure (we use Kubernetes + Terraform) This role is crucial; you will be at the forefront of integrating machine learning into our core products, from error classification to predictive analytics for application performance monitoring.
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