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The Boeing Company’s AvionX organization is seeking a hardware engineer with experience in FGPA and Firmware engineering, specializing in the full development lifecycle of hardware including requirements analysis, design, build, integration, test, certification, production.
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Validate design through hardware integration test with special test equipment, test-beds, and higher-level systems as needed. Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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Job Summary:McKesson is seeking a skilled Compute Lead to design, build, and operate cloud infrastructure solutions on VMware, Azure, and GCP. As a key member of our team, you will ensure the security, scalability, and reliability of our cloud infrastructure to meet business requirements.
$127,900 - $213,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work You’ll Do Assist clients in addressing their most complex business challenges by maximizing performance of the Human Resource (HR) function through leading-edge systems and processes Define, build and implement enhancements to HR processes and structure that will improve the HR function’s alignment to business objectives and ability to help drive business results Drive HR technology implementations through planning, process design, configuration, user acceptance testing, etc.
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Duties includes Design and Implement cloud-native application development, web development, API integration and scaling them in real time to meet internal users and end-customer customer needs; participate in entire software lifecycle development, testing, CI/CD and production operations; develop large scale data structures and pipelines to organize, collect and standardize data for ML models / generate insights and addresses reporting needs.
$118,450 - $267,800Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Embody and articulate the Learning Z’s educational vision, ensuring the integrity and quality of our solutions through meticulous oversight of content development, UX/UI design, and the integration of cutting-edge technologies and educational methodologies.
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Design, build out and modify AWS data integration pipelines to modernize and harden process models for extracting data from operational platforms into data lake. Develop integration solutions in the incubation phase and build prototypes as necessary to validate architecture approaches.
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BW Design Group is a fully integrated architecture, engineering, construction, system integration, and consulting firm committed to helping our clients realize their most critical goals from Strategy to Commercialization.
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We leverage our holistic portfolio of capabilities in consulting, design, engineering, operations, and emerging technologies to help clients realize their boldest ambitions and build future-ready, sustainable businesses.
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You understand application and microservice architectures, integration patterns and data engineering aspects using cloud technologies. Having experience in infrastructure/network discovery, design, build, and migration.
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Continuous Integration tools (e.g. Jenkins, Gitlab Pipeline, TeamCity, Bamboo); Build automation tools (Gradle). By integrating experience design, complex engineering, and data expertisewe help our clients imagine whats possible, and accelerate their transition into tomorrows digital businesses.
ExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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As the Integration Lab Manager on Software Test & Automation, you will own the integration lab; it’s build-out, advancement, and weekly operations. Design & build electro-mechanical fixtures, cable harnesses, and integrated hardware-in-the-loop solutions.
$111,932 - $167,899 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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You can understand architecture, design, and integration landscape of multiple H-E-B systems. You have experience with common software engineering tools such as Git, JIRA, Confluence, etc.
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The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production AI systems.
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The DevOps Engineer will support Software Engineers, QA, Product Management, and Support teams as well as work closely with Enterprise Architecture and Software Engineering team members Develop and advance our capabilities in Continuous Integration / Continuous Deployment.
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