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Experience with Docker and Kubernetes for managing cloud-based deployments. Familiarity working within a Microsoft ecosystem including experience with Azure, Powershell and/or. Familiarity with microservices architecture and cloud-native implementations.
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Cloud security certifications (e.g., GCP Professional Cloud Security Engineer). Prior experience in cloud development (GCP and AWS) and in container deployment and security. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.
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Knowledge of the AWS ecosystem, along with experience in Docker and Kubernetes. Hands-on experience with cloud platforms and API frameworks, including but not limited to flask, fastAPI, and gunicorn.
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The company brings together identity governance (IGA), granular application access, cloud security, and privileged access (PAM) to secure the entire business ecosystem and provide a frictionless user experience.
$150,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Forms a community with the firm’s Global Assistant Director of IT Modern Workplace, the Global Cloud Architect, the Global Enterprise Application Architect (and with others as needed) to provide collective oversight of the M365 ecosystem.
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You will bring an experienced database product sensibility to help align our internal development with Google Cloud ecosystem compatibility aspirations. Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise.
$271,000 - $399,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop and orchestrate Infrastructure as Code (IaC) solutions using Terraform and Ansible, automating the provisioning, configuration, and management of cloud resources and environments within the digital infrastructure ecosystem.
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Our vision is to connect the digital economy by offering one ecosystem for cryptocurrency and digital assets, loyalty, and commerce. Requirements A bachelor’s degree in Computer Science, Information Technology or equivalent 10 years of application support and production support experience supporting cloud-based platforms using an SRE support model.
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Solutions are focused on the recent launch of the People Analytics Data Lake Ecosystem (PADLE) solution. Hosted in the Azure cloud, this analytics platform supports the secure transformation and processing of Mars People Analytics data.
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Experience with Cloud Platforms, specifically AWS ecosystem, Data Engineering & Data Science Tools. Experience with Cloud Platforms, specifically AWS ecosystem, Data Engineering & Data Science Tools.
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6+ years of IT experience and 3+ years of Cloud, DevOps, Automation, Application Modernization, Digital Transformation experience. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.
$180,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience crafting and delivering software as a service and working with cloud infrastructure services such as AWS EC2, S3, Kubernetes, etc. Experience working with multiple cloud providers (like AWS, GCP, and Azure.
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Working in lock-step with Microsoft's cloud service development and operations teams, Critical Environments Systems Intelligence powers telemetry service management and IoT architectures that contemplate end to end Cloud availability and sustainability.
$94,300 - $182,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum of 5 years’ experience with S/4 HANA and/or SAP Ecosystem Applications (ie: SuccessFactors, Ariba, Analytics, Manufacturing Cloud, etc.) We put strong emphasis on training our people on S/4HANA and all the new cloud products from SAP, both functionally and technically – with the support of our 70,000+ member community.
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Design, develop, and maintain high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop.
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