Senior Software Engineer - Model Training Kubernetes/OpenShift, Waterford, IrelandJob Summary:Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?The Red Hat OpenShift AI team is looking for a Senior Software Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of MLOps platforms, participate in open source communities, contribute to the development of the OpenShift AI product, and be at the forefront of the exciting evolution of AI. You’ll join an ecosystem that fosters continuous learning, career growth, and professional development. You will be contributing as a core developer for the Model Training team, the core Model training tools (Ray, Kubleflow, Pytorch etc) for OpenShift AI. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. This role is for an individual contributor who also leads other junior engineers in the team and collaborates closely with other developers and cross-functional teams. You will have the opportunity to actively participate in both our downstream efforts as well as the upstream projects. You should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.What you will doParticipate in architect and lead implementation tasks of the new features and solutions for OpenShift AIInnovate in the MLOps domain by contributing meaningfully to upstream communitiesDevelop integrations between various portions of the OpenShift AI stackParticipate in technical vision and leadership on critical and high impact projectsEnsure non-functional requirements including security, resiliency, and maintainability are metWrite unit and integration tests and work with quality engineers to ensure product qualityUse CI/CD best practices to deliver solutions as productization efforts into OpenShift AIContribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team membersCollaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirementsCommunicate effectively to stakeholders and team members to ensure proper visibility of development effortsGive thoughtful and prompt code reviewsHelp in mentoring, influencing, and coaching a distributed team of engineersWhat you will bringExperience developing applications in GoExperience developing applications in PythonExperience developing applications in Kubernetes, OpenShift, or other cloud-native technologiesAbility to quickly learn and guide others on using new tools and technologiesProven ability to innovate and a passion for staying at the forefront of technology.Experience with distributed systems (especially those that run on Kubernetes) and troubleshooting themAutonomous work ethic, thriving in a dynamic, fast-paced environment.Experience providing technical leadership in a global team and delivering on a visionExcellent written and verbal communication skillsThe following will be considered a plus:While a Bachelor’s degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowessUnderstanding of how Open Source communities workExperience with development for public cloud services (AWS, GCE, Azure)Experience working with or deploying MLOps platformsExperience with AI/ML Model training and tuningExperience writing Kubernetes/OpenShift controllers and operatorsExperience writing DSLs in Python or other languages#LI-GB1About Red HatRed Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. 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