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Developing and implementing security standards and best practices for cloud infrastructure and solutions in AWS, Azure, OCI, and GCP cloud platforms hosted in FedRAMP and FedRAMP+ environments.
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Cloud networking (AWS/Azure) Additional experience with Palo Alto, Fortinet, Juniper, Aruba, Riverbed, F5, AWS, Azure, and automation. As a Senior Solutions Architect (SA) and a member of the Pre-Sales Engineering Team, the candidate will be responsible for working with Presidio account managers and customers to collect requirements to design and sell hybrid cloud Networking, Wireless and Security solutions.
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Architect and implement scalable, cloud-native data platforms that serve as the foundation for all data engineering initiatives across the organization, utilizing technologies such as AWS, GCP, or Azure.
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Experience of 4-8 years developing cloud native services on one or more of the major cloud providers (Azure, AWS, Google Cloud) CRD Engineering organization is innovating and transforming the platform by moving away from monolithic software to utilising next generation cloud-based technology that leverages Microsoft Azure, Kafka, Snowflake, etc.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In-depth knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and associated security services. Advanced certifications (CISSP, CISA, GIAC, CompTIA Security+, CCSP, AWS) are a significant plus.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Dataproc/EMR, Cloud Function/Lambda, BigQuery/Athena, BigTable/DynamoExperience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes.
$247,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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AWS Cloud Certification with experience as AWS Cloud Engineer. SAIC is seeking a Senior Cloud Computing Engineer with an active Interim Secret clearance to join the Cloud One Digital Engineering Team. This team is responsible for the architecture, engineering and sustainment of AF Cloud Digital Engineering platform currently deployed on AWS Cloud.
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The ideal candidate is experienced working in a large-scale enterprise network or global cloud service provider network, with an expert-level understanding of networking principals, and an advanced knowledge of networking in AWS. They should also be comfortable working in a Linux environment, and ideally proficient at scripting and in the use of configuration management and automation tools such as Git, and Ansible.
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Experience with AI technologies, machine learning models, hyperscaler platforms (AWS, Google Cloud, Microsoft Azure), engineering technologies, and PLM systems. - Collaborate with the Infrastructure and operations team to lead the deployment and management of hyperscaler solutions (e.g., AWS, Google Cloud, Microsoft Azure, IBM, etc.
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Extensive experience building production services using Cloud Infrastructure Providers such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud. Raft ( ) is a customer-obsessed non-traditional small business with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development, with headquarters in McLean, VA. Our range of clients include innovative federal and public agencies leveraging design thinking, cutting edge tech stack, and cloud native ecosystem.
$225,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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What we are expecting from you ( the qualifications you must have):8+ years of experience in cloud architecture with public cloud providers (certificate preferred) such as AWS, Azure, OCI, and GCP environments, and at least 5 years of experience in a leadership role.
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They will support the research group's AWS deployed platforms, including end-user support, end user devices, Linux systems, on-premise/cloud enterprise infrastructure and operational support of AWS deployed platform/servers.
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Experienced in Python and familiar with modern software engineering practices and the use of modern collaborative tools (familiarity with some or all of the following:- AWS or similar cloud technology, GitHub, Jira, Docker, unit testing, DVC etc.
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Experience in cloud-based data science ecosystems such as AWS, Azure, or GCP for development and deployment of models along with corresponding native data science tools like AWS SageMaker, Azure ML Studio to build and scale ML pipelines.
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5+ years of experience working as a Cloud Engineer, prefer on AWS. Develop scalable AWS cloud architectures that can handle millions of requests from hundreds of thousands of customers.
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aws cloud jobs in Hanscom Air Force Base, MA
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