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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Our CI/CD pipelines are implemented on top of Jenkins and deployed to AWS. Some of the other technologies we have in our ecosystem are Glue, S3, Lambdas, ALBs, Snowflake and Databricks.
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Experience with cloud computing platforms like; Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP) or AWS GovCloud. Experience with cloud computing platforms like; Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP) or AWS GovCloud.
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Two (2) years of demonstrated experience maintaining or managing Cloud environments such as Microsoft Azure, Amazon Web Services (AWS), using tools like Microsoft Sentinel. Understand system and application security threats and vulnerabilities to include buffer overflow, SQL injection, race conditions, covert channel, replay and return-oriented attacks, malicious code and malicious scripting.
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Experience with configuring cloud administrative environments and tools for Amazon Web Services (AWS) or Microsoft Azure. Experience writing playbooks and scripts for automation tools including Terraform, Ansible, or Puppet for Infrastructure as Code (IaC) and Configuration as Code (CaC.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Specific detailed knowledge with AWS cloud and Microsoft Azure cloud, or other cloud service providers. Specific detailed knowledge with AWS cloud and Microsoft Azure cloud, or other cloud service providers.
$250,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. Utilize programming languages like Java, Python, Go, JavaScript, HTML/CSS, TypeScript, SQL, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Cloud deployment and web development on AWS and Microsoft Azure; Modern machine/deep learning frameworks (including TensorFlow, Keras, and XGBoost); Perform patient targeting and other business outcomes, using sophisticated artificial intelligence (AI) algorithms, cutting edge deep learning/machine learning (DL/ML) and data models to automate business processes, optimize customer experiences, revenue generation, patient targeting and other business outcomes.
$145,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Must have at least one certification in the following: Certified Artificial Intelligence Practitioner (CAIP) Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, IBM AI Engineering Professional Certificate, AWS Certified Machine Learning-Specialty, Certified Analytics Professional (CAP), Data Science Professional Certificate by IBM or TensorFlow Developer Certificate.
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Microsoft SQL Server and other most common backend Microsoft technologies, including SSRS and SSIS. Minimum of 5+ years’ experience in one or more cloud platforms (Azure (preferred), AWS, GCP.
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4+ years of computer security industry experience with knowledge of adversary tradecraft and of emerging threats and techniques for attacks against cloud (e.g., Azure, AWS, GCP) and on-prem network environments.
$250,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience deploying and maintaining applications, appliances, or machines aligned to DoD Security Technical Implementation Guidelines (STIG) and Security Requirements Guides (SRG) Your Candidate Journey At Booz Allen, we know our people are what propel us forward, and we value relationships most of all.
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The ideal candidate will have hands-on experience creating, maintaining, patching and troubleshooting issues related to Microsoft SQL Server databases, knowledge of AWS Cloud technologies, works well in a small team setting, has a desire to automate processes where possible, and a willingness to think outside the box to find solutions.
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Knowledge of Artificial Intelligence (AI) tool such as Microsoft Copilot, other AI principles, methods, and tools used to design systems that perform and apply human-like intelligence functions such as neural networks, deep learning, natural language processing, robotics, and image recognition.
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Strong knowledge of cloud solutions like AWS, OpenStack and Microsoft Azure products. Strong knowledge of cloud solutions like AWS, OpenStack and Microsoft Azure products. Responsible for all aspects of integration and deployment to include, Infrastructure and application deployment, load testing, and disaster recovery.
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Experience building cloud applications for performance, resiliency, availability and scale. The architect will be responsible for deployment of new solutions into existing cloud resources or off-premise infrastructure.
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