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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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Developing and deploying Cloud solutions on AWS, Microsoft Azure, Google Cloud Platform (GCP), IBM Cloud, or Oracle Cloud Infrastructure (OCI). Thorough knowledge and/or certifications in multiple cloud platforms, including Amazon Web Services (AWS), Microsoft Azure, Oracle Cloud, Google Cloud, and IBM Cloud.
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Azure AZ-900, Cloud+, CCSP or AWS Cloud Practitioner certification(s) Experience with Azure Sentinel or other SIEM systems. 2-3 years of experience supporting secure operations of Cloud computing systems subject to FISMA.
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The Cloud Engineer will work as part of a team to design, implement, and maintain enclaves' virtual infrastructure in both AWS and Azure Cloud. Architect, design, implement, and maintain cloud solutions and new capabilities in AWS/Azure.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Senior Data Engineer (Python, Kafka, Databricks, AWS) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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The job locations include Chantilly, VA. Education and Experience: A bachelor's degree and at least ten years of experience Active Top Secret/SCI with Polygraph Skills and Knowledge: Experience in cloud services such as AWS, Microsoft Azure, Google Cloud, IBM Cloud, or Oracle Cloud, including associated tools like EC2, EBS, S3, etc.
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Candidates for this position must have performed one full year of Pen Test or Security Control Assessment within the last three years in one following cloud environment (AWS, IBM, Google, Microsoft Azure, or Oracle Cloud.
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Experience with assessing cloud-based security authorizations (FedRamp, AWS & Azure) as well as the NIST control responsibilities. Must meet 8140 baseline certification requirements (CISSP, CCNA, CySA+, GISCP, Sec+CE, CND, SSCP etc.
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Qualifications:- Cloud Migration and Cloud Engineering experience, regardless of the cloud platform (Azure, AWS, GCP, Oracle). The Cloud Engineer will be tasked with working with the various agencies and programs to act as a solutions consultant to determine which is the best cloud solution (i.e. which of the 4 commercial cloud providers offers the best product for them), help them set up their environment for migration and work in a sandbox to help architect the solution that they will use.
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This position requires a person with knowledge of ServiceNow and its use as an automated provisioning mechanism to provision multiple cloud service provider’s servers including Azure and AWS Windows and Linux AMIs. A successful candidate should have extensive scripting knowledge and capabilities specifically related to PowerShell, Power-CLI, JavaScript, Python, Perl Scripts, and Bash Shell scripting.
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Experience and knowledge of Cloud platforms (AWS, Azure), modern architectures, development languages (Java, JavaScript, Python), DevSecOps. Delivery of Enterprise Financial Risk Management solutions, including enterprise model risk governance, credit risk oversight, and price verification to optimally assess and track all risks, issues, controls, and compliance.
$252,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced certifications in artificial intelligence, machine learning, or related fields (e.g. AWS Certified Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer.
$260,850 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience working with cloud technologies (Docker, Kubernetes); Azure / AWS / GCP / OpenShift infrastructure experience. Job Description: As a Data Analytics Engineer, you will: Evolve Extract, Transform, Load (ETL) pipelines of structured and unstructured data from a verity of disparate sources to meet the needs of an advanced Insider Threat program.
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Desirable certifications: PMP, AWS Certified Solutions Architect - Associate, Microsoft Certified Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect.
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