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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. Youll 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.

• Participate in architect and lead implementation tasks of the new features and solutions for OpenShift AI
• Innovate in the MLOps domain by contributing meaningfully to upstream communities
• Develop integrations between various portions of the OpenShift AI stack
• Participate in technical vision and leadership on critical and high impact projects
• Ensure non-functional requirements including security, resiliency, and maintainability are met
• Write unit and integration tests and work with quality engineers to ensure product quality
• Use CI/CD best practices to deliver solutions as productization efforts into OpenShift AI
• Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
• Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
• Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
• Give thoughtful and prompt code reviews
• Help in mentoring, influencing, and coaching a distributed team of engineers

• Experience developing applications in Go
• Experience developing applications in Python
• Experience developing applications in Kubernetes, OpenShift, or other cloud-native technologies
• Ability to quickly learn and guide others on using new tools and technologies
• Proven 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 them
• Autonomous work ethic, thriving in a dynamic, fast-paced environment.
• Experience providing technical leadership in a global team and delivering on a vision
• Excellent written and verbal communication skills

The following will be considered a plus:

• While a Bachelors degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
• Understanding of how Open Source communities work
• Experience with development for public cloud services (AWS, GCE, Azure)
• Experience working with or deploying MLOps platforms
• Experience with AI/ML Model training and tuning
• Experience writing Kubernetes/OpenShift controllers and operators
• Experience writing DSLs in Python or other language