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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges. Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
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Certifications such as AWS DevOps Engineer or similar. Backend Development: Java including Java Spring BootCloud Development: AWS, Azure, or similar cloud platformsRelational Database: PostgreSQL with the ability to write SQL.Operating System: LinuxVersion Control System: GitDeep understanding of modern software design patterns and coding standards.
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Full Stack Development experience, including experience with Python, Django web applications, REACT web applications or other Javascript frameworks, RESTful API architecture, and incorporating machine learning models into web apps.
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Cloudera Solr and HBase experience is a MUST.- Experience with Ab Initio, EMR, S3, Dynamo DB, Mongo DB, ProgreSQL, RDS, DB2 is a Plus.- DevOps (CI/CD Pipeline) is a Plus.- Experience with Advance knowledge of UNIX and SQL- Experience with manage metadata hub-MDH, Operational Console and troubleshoot environmental issues which affect these components- Represents team in all architectural and design discussions.
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Experience in using AWS native DevOps tools, including AWS CodePipiline, AWS CodeCommit and AWS Cloud Development Kit (CDK) to build and automate application and infrastructure deployment.
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Microsoft Azure Solutions Architect, AWS Solution Architect Professional, or Google Cloud Architect Certification. Using tools like Azure DevOps, Jenkins, Docker, Kubernetes, and GitHub.
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This role will focus on leading the automation and components (Solr, HBase) set up and improvement for Cloudera CDP public cloud and integrate with other AWS services. Ansible, Terraform, Bit Bucket) and experience working cloud solutions (specifically data products on AWS) are necessary.
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Implement machine learning and artificial intelligence solutions to enhance predictive analysis and proactive issue resolution. Excellent understanding of at least 8 of the following - AWS EC2, Lambda, Beanstalk, ECS, CloudTrail, CloudWatch, Systems Manager, VPC, CloudFront, ALB, Neptune, RDS, Redshift, Aurora, Glue.
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Relevant certifications (e.g., AWS Certified DevOps Engineer, Google Professional Cloud DevOps Engineer) The DevOps Manager will be responsible for developing and managing infrastructure as code (IaC) using tools like Terraform and CloudFormation.
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This is your chance to leverage your expertise in building enterprise cloud-native solutions involving Kubernetes, Rancher, AWS, and Azure. As a DevOps Site Reliability Engineer, you will use your development experience to write infrastructure as code and deploy using industry best practices like GitOps and CI/CD in a hybrid cloud environment.
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Define the roadmap for the IT portfolio and seek out and introduce innovative ideas such as Machine Learning/Artificial Intelligence to bring added value to the CBP mission. Hold recognized cloud certifications, such as Amazon Web Services (AWS) Certified Solutions Architect, Cloud Certified Professional.
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Implement and maintain security controls for cloud computing services such as AWS/C2S, Microsoft Azure, Nutanix, and VMware. Proficiency in one or more cloud computing services and technologies, such as AWS/C2S, Microsoft Azure, Nutanix, and VMware.
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Must Have Skills: AI Tools AWS - Athena AWS - S Glue hands-on development of reporting applications msExcel RedShift SQL Tableau Desktop /Creator Nice To Have: AWS - Lambda AWS - SNS/SQS Tableau API Integration Responsibilities: Expertise to understand complex queries, proof test, and tweak for the intended use.
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Desired - Microsoft® Certified: Azure Solutions Architect Expert or Azure DevOps Engineer Expert or Azure Developer Associate. Develop and maintain scripts to automate tool/service deployment to the Azure cloud environment through Azure DevOps Pipeline and Release.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with Cloud Enterprise, authorizing cloud systems, and Cloud services, including AWS, Azure, or GCP.
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machine learning aws devops jobs Title: devops Company: Pri in Herndon, VA
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