Job Summary: Join the Red Hat OpenShift AI (RHOAI) team as a Senior Software Engineer and contribute to a transformative open-source AI platform. We're seeking an individual with Kubernetes and MLOps (Machine Learning Operations) experience to help build and expand our hybrid cloud MLOps platform. This is a unique opportunity to innovate, contribute to open-source communities, and drive the future of AI. You'll be part of an ecosystem that prioritizes continuous learning, career growth, and professional development. As a core developer, you'll actively participate in one of our OpenShift AI component teams and their affiliated open-source communities. You'll be responsible for rapidly designing, securing, building, testing, and releasing new capabilities. This individual contributor role involves close collaboration with other developers and cross-functional teams. We're looking for someone passionate about open-source and dedicated to integrating Red Hat, open-source, and partner technologies into a unified platform. Red Hat's commitment to open-source innovation extends to our work culture. We embrace change in the fast-moving tech landscape and encourage a strong growth mindset. Our teams are empowered to ethically leverage AI to streamline workflows, reduce complexity, and boost efficiency, allowing them to focus on higher-impact work and create innovative solutions for our customers. What you will do: Lead the architecture and implementation of new features and solutions for RHOAI. Drive MLOps/LLMOps innovation through active participation in upstream communities. Provide technical vision and leadership for critical and high-impact projects. Ensure non-functional requirements like security, resiliency, and maintainability are met. Develop unit and integration tests and collaborate with quality engineers to ensure product quality. Utilize CI/CD best practices to deliver solutions as productization efforts into RHOAI. Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge. Collaborate with product management, engineering, and cross-functional teams to clarify business requirements. Effectively communicate development progress to stakeholders and team members. Provide thoughtful and prompt code reviews. Represent RHOAI in external engagements, including industry events, customer meetings, and open-source communities. Mentor, influence, and coach a distributed team of engineers. Explore and experiment with emerging AI technologies relevant to software development, identifying opportunities for integration into existing workflows and tooling. Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions. Demonstrate proficiency in utilizing LLMs (e.g., Google Gemini) for tasks such as brainstorming solutions, deep research, summarizing technical documentation, drafting communications, and enhancing problem-solving efficiency. What you will bring: Minimum of 5 years of experiencedeveloping applications in Go, Python, or other relevant languages. Advanced experience with Kubernetes, OpenShift, or other cloud-native technologies. Ability to quickly learn and guide others on new tools and technologies. Proficiency with source code management tools like Git. Proven innovation skills and a passion for staying at the forefront of technology. Excellent system understanding and troubleshooting capabilities. Autonomous work ethic, thriving in a dynamic, fast-paced environment. Technical leadership acumen in a global team setting. Excellent written and verbal communication skills. The following is 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 prowess. Understanding of how Open Source and Free Software communities operate. Experience with development for public cloud services (AWS, GCE, Azure). Experience working with or deploying MLOps platforms.
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