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Deliver foundational and strategic security engineering solutions and programs to address cloud implementations (AWS, GCP, Azure) Experience in software engineering with exposure to cloud, with a deep understanding of SaaS architecture and tooling.
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Lead and execute cloud infrastructure migration projects, with hands-on involvement in the migration of client workloads to public cloud platforms. This opportunity is for a DevOps Architect role focused on cloud infrastructure and application migrations, as well as optimizing and automating the software development lifecycle.
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This is a hard-core software engineering role, where a large part of an engineer's time is spent in writing code and designing/developing applications on cloud, with the remainder being spent on tuning and debugging codebase, supporting production applications and supporting our application end users.
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Azure Data Engineering or Databricks Certification, and expertise with other cloud data platforms (AWS, Snowflake) preferred. - Lead the design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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The team features a collaborative and hands-on environment that fosters engineering excellence, creativity, and innovation in the interdisciplinary areas of optical metrology and testing, device fabrication, display technologies, image processing, and color sciences.
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Experience working on OpenShift, Azure, AWS cloud for Oracle WebLogic/FMW. Hands on installing, clustering, migrating, and upgrading from Oracle SOA Suite to MuleSoft.
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Consisting of a group of experienced Network Development Engineers, Cloud Architects, and Software Developers, the IES Cloud Network Engineering group is the high-octane engine powering the transformation of our Cloud based Network infrastructure.
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Cloud support activities periodically require on-call responsibilities or work during non-standard hours. Two (2) years AWS cloud computing technologies and techniques. The team primarily supports and manages CPA's AWS cloud environments.
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
$107,925 - $179,875 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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This position is for an individual with a minimum of 2 years of experience in Traffic Engineering and interested in working on transportation projects with State DOTs, local governments, and the private sector.
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We are seeking a Research Associate to provide electrical and/or computer engineering expertise and scientific rigor across a portfolio of technologies germane to interests of SGL listed above in order to effect improvements to these interests and advance the state-of-the-art in these areas.
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Service design and scalable deployment in cloud-based software development Kubernetes, Kafka and related web infrastructure technologies Java, Ruby on Rails, Typescript, Node.js, & React.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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15 or more years of experience with a Bachelor's Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience in computer science, computer engineering, mathematics, or equivalent field with a focus on artificial intelligence/machine learning.
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software engineering computer hands on aws cloud jobs Title: software Company: Snowflake Computing in Austin, TX
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