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The Principal Integration Engineer will work on designing and implementing a new RHEL AI product with a focus on deep integration of AI stack, hardware accelerators, and leading OEMs and CCSPs. Responsibilities include software development, packaging for distribution, certification with hardware vendors, collaboration with engineers, feature design, performance analysis, code writing, code reviews, and staying updated on AI frameworks advancements.
Seeking a Principal Integration Engineer to design, implement, and productize a new RHEL AI product with deep integration of AI stack, hardware accelerators, and leading OEMs and CCSPs. Responsibilities include software development, packaging components, certification with vendors, collaboration with engineers, feature design, performance analysis, code writing, code reviews, and mentorship. Requires strong RHEL experience, knowledge of hardware accelerators, container ecosystem expertise, problem-solving skills, communication skills, and proficiency in English.
Provide high-level technical support and sustaining engineering services for Red Hat OpenShift to enterprise customer accounts. Collaborate with customers and internal teams to troubleshoot and resolve complex issues. Work with key strategic cloud partners to solve customer issues. Join a fast-growing enterprise software and services company.
Seeking an experienced OpenShift Virtualization Architect to join the team in EMEA, focusing on scoping and delivering engagements to move virtualized infrastructures to modern platforms. Responsibilities include workshops, design, and deployment of Red Hat Virtualization solutions for customers in the EMEA region. Travel required. Must have 5+ years of experience in infrastructure and cloud solutions, knowledge of RHEL, OpenShift, and virtualization technologies, and the ability to collaborate with cross-functional teams.
Sales Interns at Red Hat will work on supporting business initiatives, project management tasks, data analysis, and preparing reports and presentations. They will also assist in sales skill development programs and engage with stakeholders to drive projects forward.
As a Software Certification Solutions Engineer, responsible for diagnosing and solving issues related to Red Hat Software Certification programs and ensuring successful certification of partner workloads. Collaborate with partners, manage escalations, and contribute to strategic planning for partner programs and certification processes across OpenShift and virtualization.
Senior Site Reliability Engineer role at Red Hat involving developing, scaling, and operating OpenShift managed cloud services. Responsibilities include contributing code for scalability, software tests, incident response, and customer issue resolution. Required skills include programming in Python, Golang, Java, C, or C++, experience with public clouds, troubleshooting distributed systems, and Unix/Linux knowledge.
Develop, scale, and operate OpenShift managed cloud services as a Senior Site Reliability Engineer. Contribute to running OpenShift at scale, enable customer self-service, improve monitoring system sustainability, and automate work. Collaborate in a transparent team environment, participate in on-call schedules, and resolve customer issues. Requires programming experience, familiarity with public clouds, troubleshooting skills, and experience with complex distributed systems.
Seeking a Senior MLOps Engineer with experience in Kubernetes and MLOps to work on scaling deployment, trustworthy AI, and monitoring Foundation Models and Large Language Models. Responsibilities include contributing to open source communities, researching new features, providing technical vision, and mentoring engineers.
Seeking a Senior MLOps Engineer with experience in Kubernetes and MLOps to join the OpenShift AI team. Responsibilities include contributing to open source communities, designing new features, providing technical leadership, and mentoring engineers. The ideal candidate has expertise in Explainable AI, bias detection, model interpretability, and experience deploying ML models in production environments.
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