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The team is comprised of the best-in-class technology partners to leverage forward-leaning technologies and best practices to transform GSA’s IT capabilities and shift offerings to provide a more flexible service delivery model, completing the agency’s shift to a fully digital experience along with its adoption of advanced, emerging technologies such as intelligent automation, artificial intelligence, and machine learning.
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Desired Certifications : - One or more of the following certifications: GCLD, GCFR, GCFA, GCFE, GCIH, EnCE, CCE, CFCE, CISSP, CCSP, AWS certifications, Microsoft Azure associated certifications.
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Rackner is seeking a Sr. AWS Data Engineer that will:Data IngestionData PipelineWebsite work. Title: Sr. AWS Data Engineer. AWS big data technologies: S3, Glue, EMR, Kinesis, RDS, Redshift, Athena.
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The Lead Cloud Security Engineer will lead the Network Operations Team working in collaboration with the Information Assurance (IA)/Cybersecurity/Computer Network Defense (CND) Team to perform network operations functions in support of the security tools used in both the AWS Cloud on-premises environment information and the on-premises environment to include the security information and system event management (SIEM) system.
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You'll bring solid experience in emerging and traditional technologies such as: AWS, Java, Python, New Relic, Splunk, Datadog, Swift, Kotlin to name a few. This SRE technology leader will be responsible for managing the cloud infrastructure of our critical platform and the underlying ecosystem of services like feature management, edge infrastructure, CI/CD pipelines, and all associated components in AWS for one of the largest and most digitally advanced financial institutions serving millions of customers across multiple lines of businesses.
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One or more of the following certifications: GCLD, GCFR, GCFA, GCFE, GCIH, EnCE, CCE, CFCE, CISSP, CCSP, AWS certifications, Microsoft Azure associated certifications. - Knowledge of cloud development and automation tools such as Terraform, Kubernetes, AWS CloudFormation, Azure Resource Manager, and Docker.
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One or more certifications: GCLD, GCFR, GCFA, GCFE, GCIH, EnCE, CCE, CFCE, CISSP, CCSP, AWS certifications, Microsoft Azure associated certifications. One or more certifications: GCLD, GCFR, GCFA, GCFE, GCIH, EnCE, CCE, CFCE, CISSP, CCSP, AWS certifications, Microsoft Azure associated certifications.
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4-7 years of experience in development, operations, and infrastructure, with a current or most recent role as a Site Reliability Engineer, DevOps Engineer, or an equivalent position for at least 2-3 years.
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AWS certification(s) such as AWS Certified Cloud Practitioner, AWS Certified Solutions Architect or AWS Certified DevOps Engineer is Required Knowledge, Skills and Abilities (KSAs) Analyze, optimize, and implement Cost Optimization strategies for Cloud services including Tag enforcement, shutdown of services, right sizing of resources.
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Proficiency in working within a DevSecOps environment, with experience using Source Code repositories and CI/CD pipeline solutions such as Team Foundation Server/Azure DevOps, Bitbucket, and GitHub.
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Experience with AWS, Azure and GCP DevOps for CI/CD pipelines. The Leidos Digital Modernization Sector Health IT Division is seeking a Senior Cloud Solution Architect/Technical Lead with extensive knowledge and expertise in Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP) technologies and architecture.
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Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. 5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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Security +, CRISC, CISSP, CISM, CSA, AWS Cloud Practitioner, or AWS Certified Solutions Architect Associate Certification. Security +, CRISC, CISSP, CISM, CSA, AWS Cloud Practitioner, or AWS Certified Solutions Architect Associate Certification.
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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Knowledge of autonomous sensor deployment and AI-driven machine vision.
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Operates the following machines: floor sprayer, automatic scrubber buffer, vacuum cleaner, wet/dry vacuum, pressure washer, rotary/steam hand held shampooing machine, window wash pole system and extracting machine.
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machine learning aws devops jobs Title: devops engineer Company: Pri in Falls Church, VA
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