Principal Software Engineer – Red Hat OpenShift AI

About the job

Are you ready to create open, hybrid, and intelligent solutions? Join the Red Hat Open Shift AI team!

Red Hat Open Shift AI (RHOAI) delivers a powerful suite of technologies designed for AI Engineers, Data Scientists and MLOps professionals—covering model development, model serving, data pipelines, Kubeflow components, and Kubernetes operator development. The platform continues to evolve rapidly, expanding into new areas at an impressive pace.

By combining the strength of open source innovation with the latest advances in AI and hybrid cloud, RHOAI empowers organizations to build, scale, and operationalize AI solutions with unmatched flexibility and value.

At Red Hat, our commitment to open source innovation extends beyond our products - it’s embedded in how we work and grow. Red Hatters embrace change – especially in our fast‑moving technological landscape – and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency.

This empowers our associates to focus on higher‑impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.

• Lead the design and development of new component solutions for RHOAI.
• Provide technical guidance and innovation insights to engineering and product leadership.
• Contribute to the architecture and design of RHOAI, ensuring scalability, reliability, and an exceptional user experience.
• Define and implement policies that ensure RHOAI components are observable, secure, and scalable.
• Design cross‑cutting plans to ensure consistent implementation across teams and components.
• Apply CI/CD best practices to develop and deliver high‑quality software solutions.
• Contribute to and collaborate with upstream communities such as Kubeflow, MLflow, Kubernetes ensuring smooth integration and operation on Open Shift.
• Represent Red Hat by presenting at Open Shift/Kubernetes and AI/ML‑related conferences, and by engaging in internal and external AI/ML communities of practice.
• Collaborate with open source communities to evaluate emerging AI, ML, and data technologies, and create integration examples with RHOAI.
• Mentor and guide engineers, fostering technical excellence and open collaboration.
• Experiment with emerging AI technologies relevant to software development, identifying opportunities to enhance existing workflows and tools.

• 8+ years of progressive experience in software engineering
• Proven experience in a technical leadership role, demonstrating the ability to guide teams, provide technical direction, and influence decisions.
• Proven innovation skills and a passion for technology.
• Strong software architecture background, ensuring consistency and technical excellence across the technology stack.
• Excellent communication skills, with fluency in English.
• Solid understanding of the Linux operating system.
• Strong experience with the Go programming language.
• Demonstrated expertise in Python.
• Experience building and deploying containerized applications, including operator‑based install and upgrade processes.
• Deep understanding of open source software communities and collaboration models.
• Knowledge of Kubernetes architecture, operators, and controllers.
• Experience troubleshooting complex issues in distributed systems.
• Hands‑on experience developing for public cloud services (AWS, GCP, Azure).
• Demonstrate proficiency in utilizing LLMs (e.g., Google Gemini), as relevant, for tasks such as brainstorming solutions, deep research, summarizing technical documentation, drafting communications, summarizing complex technical information, and enhancing problem‑solving efficiency across the development lifecycle.
• Proactively utilize AI‑assisted development tools (e.g., Git Hub Copilot, Cursor, Claude Code) for code generation, auto‑completion, and intelligent suggestions to accelerate development cycles and enhance code quality.

• Security background or experience integrating security best practices.
• Knowledge of the Prometheus monitoring stack.
• Bachelor’s degree or higher in Computer…