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For all Prisma Cloud opportunities, the specialist team owns the opportunity end-to-end, while keeping the Core team in the loop throughout. As a Prisma Cloud specialist team, we are part of the Core Palo Alto Networks account team that owns the end-to-end relationship with our customers.
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Work with sales, marketing, product management, and customers to research and identify key differences and advantages of the Prisma Cloud Security Posture Management, & Shift-left module against the core competitors.
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Work from office 3 days in hybrid model) Key words to search in resume Java, Spring boot, Microservices, Javascript, VueJS, Kafka, MongoDB, AWS, Cloud Native, EKS Prescreening/Sample Questionnaire with answers.
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Based in either the Bay Area, CA or Seattle WA, in this role, you will craft a strategy to drive Adobe’s award-winning Premiere Pro core product transforming the industry while delivering exceptional customer experiences making Creative Cloud for video a key part of all creative workflows.
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EInfochips acts as a catalyst to Arrow’s Sensor-to-Sunset initiative and offers complete edge-to-cloud capabilities for its clients. Responsible for embedded software design and optimization with a concentration on connectivity and wireless SW stacks for Wi-Fi, Bluetooth, Core Android networking, etc.
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Core Java, DS, J2EE, Kafka, Apache Camel, RESTful Web-Services, Spring, Hibernate, GIT, Splunk, Caching SOA, Exposure to Cloud (AWS/Azure), CICD, Deployment Technologies, Kubernetes, SQL/NoSQL databases (Cassandra), Agile Preferably having experience in Clojure, GO Large scale distributed services experience, including scalability and fault tolerance.
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Work on tactical configuration in the Workday cloud-based technology package, specifically Workday HCM Core HR. Experience as a functional lead on at least 1 full life-cycle implementation of the Core HR module for Workday HCM.
$137,700 - $229,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Help partners identify and assess customer Artificial Intelligence (AI), machine Learning (ML), or Generative Artificial Intelligence (GenAI) opportunities to discover cloud solutions to recommend, plan, and address core market opportunities and use cases.
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As a Principal Engineer, you will operate across a global Site Reliability Engineering (SRE) organization, and partner with the Corporate Engineering and Core Hybrid Platforms developer organizations.
$271,000 - $399,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Hands-on experience working on core Cloud services – compute, storage, network, virtualization, Identity and Access Management (IAM). Experty level knowledge of public cloud infrastructures (GCP - Preferred, AWS, Azure.
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The Cloud Native Infrastructure team is part of the core Technical Infrastructure engineering team of ByteDance R&D. The team implements and manages a Kubernetes-like Cloud-Native Orchestration framework and cluster management system to host microservices, serverless applications, big data processing, machine learning, distributed storage services, and edge computing platforms for the company.
$187,000 - $358,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Reporting to the SVP, Content Engineering, this role will drive revenue & business development initiatives of complex, multimillion dollar, multi-year, software R&D services, including initiatives such as digital transformation, and various horizontal initiatives such as core software development, modernization, QA automation, DevOps/Cloud, and big data.
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Site Reliability Engineering with Core Java, PL SQL, Unix shell scripting, Dynatrace/AppDynamics. Strong experience on PL/SQL, Unix shell scripting,Cloud Computing. Experience in Cloud-based platforms like AWS and GCP.
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Job Description:Sr. Software Engineer- Machine LearningSunnyvale, CA, USDescriptionThe predictive marketing cloud, helps marketers understand and engage their customers in a personalized and omni-channel fashion, aided by predictive analytics on big data.
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Proficient with AWS and/or Google cloud services (e.g., IOT Core, Lambda, DynamoDB, RDS, Kinesis) Cloud databases like AWS oracle/PostgreSQL RDS, Aurora PostgreSQL or GCP Cloud SQL are preferred.
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