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Familiar with Amazon Web Services, Oracle Cloud, Google Cloud, IBM Cloud and Microsoft Azure cloud architecture or willingness to study independently to pick up expertise in one or many cloud vendors.
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The organization manages security assessments, security compliance, change management, and continuous monitoring responsibilities across 5 cloud service providers (Amazon Web Services, Google Cloud, Oracle Cloud, Microsoft Azure, and IBM Cloud) The position requires a healthy mix of technical and policy knowledge.
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Deep experience in our tech stack: Java 17, Spring/Spring boot, Typescript, UI state management, ORM such as Hibernate, PostgreSQL, Amazon AWS. Hands-on development with our tech stack: Java (Spring), Angular, PostgreSQL, Amazon AWS.
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Cloud: AWS & VMWare deployments, S3, Amazon Athena, Amazon Glue. DevSecOps : GitOps, Jira, Git/GitLab/GitHub, Docker, CI/CD, Kubernetes, Jenkins, Kafka/Zookeeper, Consul. Technology Stack: Kubernetes (Rancher), Docker, Chef.
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Experience with AWS AI services (e.g., Amazon Comprehend), ML platforms (Amazon SageMaker), and frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) Collaborate with other science teams at Amazon to consistently iterate and improve our AI/ML solutions.
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Relevant certifications in cloud platforms (OCI Certified, AWS Certified) to demonstrate expertise in Oracle Cloud Infrastructure and Amazon Web Services. Working knowledge with Ansible, Terraform , Kubernetes, Jenkins, SonarQube and Nexus/Maven , indicating proficiency in modern application deployment methods.
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Designing and deploying cloud solutions to Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), IBM Cloud, or Oracle Cloud Infrastructure (OCI) provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, DevSecOps, cloud network operations, and secure communications.
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Tomcat, Resin, Jira, CircleCI, GitHub, BitBucket, Serverless, Microservices, GeoServer, GeoTools, QGIS, AWS, Lambda, EC2, OpenSearch, ECS, Fargate, Elastic MapReduce, Docker, S3, SQS, Elastic Beanstalk, CloudWatch, DMS, RDS, Aurora, CloudFront, Glue, ElastiCache, Redis, Memcache, MapReduce, Hadoop, Spark, Solr, Pig Latin, Cassandra, Apache Mahout, ETL, Amazon Textract.
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Demonstrated experience designing, implementing, assessing or reviewing systems that utilize cloud technology with either Amazon Web Services, Oracle Cloud, Google Cloud, IBM Cloud, or Microsoft Azure cloud architecture.
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Apply now DESCRIPTION The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire a Fab Process Engineering Technician, who will aid in AWS’s effort to quantum computing services to its worldwide customer base.
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One technical or management certification related to cloud security (e.g., CompTIA, Cloud Security Alliance), cloud-related technology (e.g., MS, VMware, Amazon), or other technology (e.g., VMWare, CISCO, Juniper, Linux, MS) relevant to Task 5.
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BlackSky has extensive expertise and capabilities in commercial remote sensing, multi-source analytics, cloud computing, open-source software development, Amazon Web Services, and big data geospatial analytics.
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Mission critical, online, vast E Commerce distribution network coast-to-coast warehouse locations support just-in-time delivery. We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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The AWS Amazon Dedicated Cloud (ADC) Region Services Operations (RSO) team is looking for a talented Senior DevOps/System Development Engineer to join our energetic, fast-moving, and passionate team.
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Experience with Amazon S3, Redshift, EMR and Scala. Experience with migrating on-prem legacy database objects and data to the Amazon S3 cloud environment. Responsible for data engineering source code control using GitLab. Basic Qualifications:Experience with relational databases and knowledge of query tools and/or BI tools like Power BI or OBIEE and data analysis tools Experience with the Hadoop eco system, including HDFS, YARN, Hive, Pig, and batch-oriented and streaming distributed processing methods such as Spark, Kafka, or Storm Strong experience in automating ETL jobs via UNIX/LINUX shell scripts and CRON jobs.
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amazon warehouse jobs Company: Amazon Surprise Az Jv in Sterling, VA
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