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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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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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Avenu is hiring a DevOps Engineer to automate and streamline the end-to-end practices, from code development to delivering the features/changes, to users in production. Microsoft Azure Solutions Architect, AWS Solution Architect Professional, or Google Cloud Architect Certification.
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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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About the Role: The Data Engineer will be responsible for building reporting products and standard datasets, using an array of diverse technologies, including Tableau and AWS technologies.
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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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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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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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Desired - Microsoft® Certified: Azure Solutions Architect Expert or Azure DevOps Engineer Expert or Azure Developer Associate. The DevOps Engineer will drive towards automation and strategies that align with industry best practices; will collaborate with product owners/developers/cloud engineers to ensure Digital’s CI/CD (Continuous Integration/Continuous Delivery) processes are running smoothly and that development teams can deploy their code to the target environments as efficiently as possible; will assist with operations and supporting the Digital applications/services in production.
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machine learning aws devops jobs Title: engineer Company: Pri in Herndon, VA
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