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SAIC’s National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, DevSecOps, cloud network operations, and secure communications.
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Broad, domain level architectural understanding of: Modern Application Architecture Cloud Computing DevSecOps IT Infrastructure Network IT Governance IT Security. Architect cloud applications with core experience in modern application architecture, cloud computing, Identity and Access Management, IT infrastructure and security.
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Experience working with relevant cloud security frameworks/guidelines (CSA CCM, PCI Cloud Supplement, ISACA Cloud Computing Audit, CIS, NIST) Knowledge and experience with Cloud Security Posture Management tools (Azure Policy, AWS Config, Prisma Cloud.
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Experience with Service-Oriented Architecture (SOA) applications and cloud-based services, preferably Azure. We are looking for an engineer who is customer-focused with the insight and industry knowledge to envision and implement future technical solutions that will manage and optimize the Cloud infrastructure.
$133,600 - $256,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The company's proprietary quantum-classical infrastructure provides ultra-low latency integration with public and private clouds for high-performance practical quantum computing. Rigetti Computing is a pioneer in full-stack quantum computing.
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1+ year of experience in data engineering using open-source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Azure, or another cloud service.
$72,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Java, Spring, SRE Informatica PowerCenter, Amazon Web Services, Teradata, Hadoop Distributed File System, Ab initio, Hive , Adobe Cold Fusion, BigData Validation, Splunk, Sybase, Cloud Computing Apache Pig, SQL Scripting, Docker Container, Unix Shell Scripting.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
$120,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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.
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Knowledge and proven use of contemporary data mining, cloud computing, and data management tools: Microsoft Azure, AWS Cloud, Google Cloud, Hadoop, HDFS, MapR, and Spark. Minimum 8 years of experience designing, building, and operationalizing large-scale enterprise data solutions and applications using GCP data and analytics services alongside 3rd party tools (Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/Composer, BigTable, Cloud BigQuery, Cloud Pub/Sub, Cloud Storage, Cloud Functions, & Github.
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Required with AWS/Cloud development/computing and OpenCV experience. They are highly motivated to write proposals and develop new ideas and carry through phases of scientific research and software development from initial physical equations of phenomenology to demonstration pseudo-code, to fully documented and tested large scale scientific software running in the newest cloud-based, ground processing architectures.
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Solid understanding and hands-on experience with multi-cloud architecture, cloud computing, cloud storage, and cloud support operations and technology systems, as well as experience in designing and migrating applications to the cloud.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with AWS, GCP, Azure, or another cloud service. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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Experience with Cloud computing platforms and toolchains with big data analytics (e.g. Snowflake, DBT, Tableau Prep), with practical experience in integrating cloud services with conventional hosting/delivery models is considered an asset.
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cloud computing jobs Title: customer service
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