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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service.
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Strong knowledge of hybrid cloud, AWS, GCP, Azure and EntraID/Azure AD, OpenShift, Openstack Keystone. · Strong knowledge of hybrid cloud, AWS, GCP, Azure and EntraID/Azure AD, OpenShift, Openstack Keystone.
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Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc. Required Skills: Proficiency in programming languages - Java, JavaScript frameworks (Angular / React),Python (Current generation front-end and back-end languages) Cloud-native and agnostic designs and architectures across AWS and Azure AWS Stack – S3, Glue, EMR, Redshift, DynamoDB, Kinesis, Lambda, Athena etc.
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Certification in one or more of the following technologies: Microsoft Azure Solution Architect, Microsoft Azure Administrator, Google Professional Cloud Architect, Google Associate Cloud Engineer, AWS Certified Solutions Architect Professional, AWS Certified Solutions Architecture Associate, AWS Certified SysOps Administrator Associate.
$133,600 - $282,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4+ years of experience with AWS, Google Cloud Platform, Microsoft Azure, or another cloud service. Utilize programming languages like JavaScript, Java, TypeScript, Python, Vue. Js, Angular, RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Are you an experienced AWS Cloud Administrator looking for an exciting opportunity to make a difference in the Intelligence Community? Mid to Senior Level AWS Cloud Administrator.
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AWS is looking for an Automotive & Manufacturing Business Development (BD) leader capable of driving market development for the Autonomous Driving/ADAS workload area leveraging the richness of the AWS cloud computing platform to address transformational opportunities with customers and partners in automotive and manufacturing.
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Senior Cloud Computing Specialist- Data Engineering/ Science Support As a Senior Cloud Computing Specialist- Data Engineering/ Science Support at Cherokee Nation Systems Solutions (CNSS) you will interface within an agile product delivery team to build cloud native solutions that meet mission requirements while balancing security, financial, architectural, and mission/business impacts.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Experience with distributed data or computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with IT infrastructure such as database systems, cloud computing (such as Databricks, AWS), and high-performance computing in Linux environments. Ph. D. in cheminformatics, computational chemistry, chemistry, chemical engineering, or related fields.
$184,800 - $290,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep technical expertise across multiple technical domains including cloud computing, security, identity and access management and IT infrastructure. Strong technical knowledge in designing, deploying and managing AWS / GCP Infrastructure security services (EC2, ELB, Guardduty, Config, Inspector, Security Hub, RDS, Route53, S3, vpc, vpn, tgw, CloudWatch, CloudTrail, eventbridge, etc.
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Experience AND/OR Certification with cloud and container management & security technologies such as: VMWare, AWS, Azure, Google Cloud, Docker, Redhat OpenShift, Amazon Elastic Container Service (ECS), Docker Swarm, Kubernetes, Nomad.
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Experienced in CI/CD and MS domains: configuration management and/or automation tools, and/or continuous-integration tools (Jenkins, Git, Nexus), and/or Continuous deployment knowledge on the most popular cloud computing platforms (OpenShift, AWS, Azure and/or GCP), familiarity with several third-party tools (Postgres, Cassandra, Helm, Groovy, Couchbase.
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Required with AWS/Cloud development/computing and OpenCV experience. We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges.
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