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Come make history as a member of the Amazon Entertainment legal team in Amazon s world-class legal department, supporting Amazon Music. Amazon Music also offers a wide selection of podcasts at no additional cost, as well as live streaming in partnership with Twitch.
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Amazon Kids seeks a Sr. UX Researcher to define and drive the future of Kids devices and experiences at Amazon. Amazon Kids+ is an all-in-one subscription for kids that offers unlimited access to thousands of kid-friendly books, movies, TV shows, educational apps, and games.
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Familiarity with at least one of the following cloud providers: Amazon Web Services (AWS), Google Cloud Compute (GCP), or Microsoft Azure. Familiarity with Amazon Web Services (AWS), Terraform, and infrastructure as code (IaC) best practices.
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A DAY IN THE LIFEEngineers in the Internet Edge organization have a wide range of responsibilities: we evolve routing policy, implement traffic engineering solutions, grow our peering footprint, secure the “front door” from bad actors on the Internet, and architect the hardware platforms and network design to support any Amazon product that needs to reach end-users worldwide.
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Key job responsibilities- Fabricate, assemble and modify prototype tooling & test equipment - Work directly with engineering teams on design feedback DFM, project execution and commissioning- Maintain GSE Tooling work area- Ability to be flexible, support changing priorities and ambitious deadlines- Support other development, production and facilities teams as required- Must have valid driver’s license and able to satisfy Amazon driver eligibility criteria.
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Familiarity with Amazon Web Services (AWS), Kubernetes, Terraform, and infrastructure as code (IaC) best practices. As a Director, Software Engineering you will be responsible for leading a group of engineering managers and their respective engineering squads within the Identity Engineering organization.
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Experience managing: Amazon AWS, Azure, Google Cloud an advantage. Azure Administrator certification (e.g. AZ-104, AZ-400; AZ-303; AZ-304) is required. Keywords is an international service provider to the global Video Game Industry with offices in Dublin, London, Brighton, Tokyo, Singapore, Shanghai, Beijing, Montreal, Barcelona, Madrid, Rome, Milan, Rio de Janeiro, New Delhi, Los Angeles, Seattle.
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Experience with Google Cloud Platform (GCP) and/or Amazon Web Services (AWS) Strong experience in enterprise architecture and enterprise systems, including systems such as sales and CRM systems (e.g. Salesforce), marketing automation systems (e.g. Marketo), enterprise resource planning systems, content management systems (CMS), digital asset management (DAM) systems, billing and payment systems, and other such systems.
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Working closely with serial entrepreneurs and seasoned leaders who have scaled companies like Robinhood, Amazon, LinkedIn, Wayfair, SoFi, Microsoft, etc. Working closely with serial entrepreneurs and seasoned leaders who have scaled companies like Robinhood, Amazon, LinkedIn, Wayfair, SoFi, Microsoft, etc.
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It's home to some of the most recognizable global companies including Amazon, Boeing, Microsoft, Starbucks, Costco, Nordstrom, REI, and Alaska Airlines. It's home to some of the most recognizable global companies including Amazon, Boeing, Microsoft, Starbucks, Costco, Nordstrom, REI, and Alaska Airlines.
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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
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Identity Engineering delivers Consumer Identity and Access Management (CIAM) capabilities across The Walt Disney Company (TWDC) including but not limited to: D+, Hulu, ESPN+, and Parks. Familiarity with at least one of the following Java Virtual Machine (JVM) languages: Java, Scala, or Kotlin.
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AWS NFE (Network Fabric Engineering) owns datacenter network services that provide unconstrained connectivity to our customers, such as EC2, EBS, S3 and Amazon CDO Services. As a Network Development Engineer, you will be responsible for building, deploying and scaling the Amazon networks that support AWS, customers, and other business units, across multiple global datacenters.
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Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage.
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Experience with multiple cloud providers, including Amazon AWS, Oracle OCI, Google GCP, Microsoft Azure, Meta, Tencent, Baidu, or ByteDance. Experience with multiple machine learning frameworks PyTorch, TensorFlow, JAX, XLA, Triton Inference Server, TensorRT, ONNX, etc.
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